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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. 11-RES-JB
    11. 1484
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    quotation marks used in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archdemon
    -0.84
     accomp
    -0.79
     foreseeable
    -0.78
     regard
    -0.76
     generations
    -0.76
     division
    -0.76
     Klu
    -0.75
     greatly
    -0.75
     sometime
    -0.74
     reception
    -0.74
    POSITIVE LOGITS
    normal
    1.72
    natural
    1.58
    cheat
    1.58
    official
    1.56
    classic
    1.55
    real
    1.54
    regular
    1.52
    safe
    1.52
    pure
    1.52
    clean
    1.52
    Activations Density 0.128%

    No Known Activations