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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. 13892
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
    iership
    -0.51
    perty
    -0.48
    iq
    -0.46
    GHz
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    unicip
    -0.44
    Firstly
    -0.44
    Published
    -0.44
    itaire
    -0.44
    apan
    -0.42
     CLI
    -0.42
    POSITIVE LOGITS
     Kidd
    0.52
    ©¶æ
    0.52
     Tarant
    0.47
     Schumer
    0.47
     Amen
    0.46
    (*
    0.45
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    0.45
    atche
    0.44
     Freak
    0.44
     disson
    0.44
    Activations Density 3.545%

    No Known Activations