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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. 3-RES-JB
    11. 8317
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    Explanations

    mentions of authors or people who have authored something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "author" followed by a numeric value indicating the number of authored works

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EMS
    -0.88
    Gun
    -0.77
    SEE
    -0.69
    fw
    -0.69
     Nicaragua
    -0.68
    ll
    -0.66
     Territories
    -0.66
     Bourbon
    -0.66
     Chaff
    -0.65
     Slot
    -0.63
    POSITIVE LOGITS
    itatively
    1.62
    itative
    1.06
    itar
    1.03
    essee
    1.02
     author
    0.91
    itarian
    0.91
    ournals
    0.91
    lisher
    0.89
    itent
    0.89
    acters
    0.84
    Activations Density 0.020%

    No Known Activations