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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. 10-RES-JB
    11. 11522
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    worldly
    -0.77
     [|
    -0.76
    ahime
    -0.63
     unlock
    -0.61
    fecture
    -0.61
    externalActionCode
    -0.60
    abouts
    -0.59
     till
    -0.59
     unlocking
    -0.58
     favourites
    -0.58
    POSITIVE LOGITS
     Shapiro
    1.08
     Blumenthal
    0.95
     Greenberg
    0.92
     Levin
    0.90
     Greenwald
    0.88
     Bernstein
    0.87
     Sachs
    0.86
     Berman
    0.85
     Wasserman
    0.85
     McInt
    0.84
    Activations Density 0.268%

    No Known Activations