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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of the word "Pap" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the term "Pap" or "pap" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Strength
    -0.73
    skill
    -0.70
     rigs
    -0.68
    docker
    -0.68
    \\\\\\\\\\\\\\\\
    -0.66
    aday
    -0.66
     guiName
    -0.65
     slack
    -0.65
     differe
    -0.63
     mech
    -0.62
    POSITIVE LOGITS
     Pap
    3.96
     pap
    3.22
     Pont
    1.21
     Vatican
    1.20
    atican
    1.15
    Pope
    1.13
     Pope
    1.12
     Papua
    1.11
     pope
    1.11
     Pag
    1.06
    Activations Density 0.023%

    No Known Activations