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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. 9-RES-JB
    11. 9944
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to fixed-price agreements or contracts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    anasia
    -0.84
    insula
    -0.81
    acio
    -0.77
    urized
    -0.75
    ONSORED
    -0.75
    å®
    -0.74
    ç«
    -0.73
    older
    -0.71
    ovember
    -0.71
    Du
    -0.71
    POSITIVE LOGITS
     intervals
    0.81
     guid
    0.77
     peg
    0.76
     amount
    0.74
    ties
    0.74
     amounts
    0.73
     fixed
    0.72
     interval
    0.71
     beam
    0.71
     minded
    0.71
    Activations Density 0.032%

    No Known Activations