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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 3610
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    Explanations

    introductory phrases or transitions indicating a statement or explanation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate certainty or express opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    obal
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     Cheong
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    ritic
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    ourses
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    hammad
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    oided
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    alg
    -0.65
    uga
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     Lumpur
    -0.64
    emouth
    -0.63
    POSITIVE LOGITS
    ties
    0.65
    erous
    0.64
     caveats
    0.63
    WHERE
    0.60
    !--
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    ,.
    0.59
     understatement
    0.59
    -----------
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    bear
    0.58
    advertising
    0.57
    Activations Density 0.065%

    No Known Activations