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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. 23625
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    INDEX
    Explanations

    proper names in an academic context

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals, particularly authors and researchers

    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
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.93
    TOR
    -0.77
     servicing
    -0.76
     upgr
    -0.75
    externalActionCode
    -0.73
    Whoever
    -0.72
    ansas
    -0.70
     electing
    -0.70
    venge
    -0.69
     neighb
    -0.69
    POSITIVE LOGITS
     Greenberg
    1.14
     Shapiro
    1.12
     Sachs
    1.09
     Feldman
    1.08
     Bernstein
    1.04
     Levin
    1.02
     Nichols
    1.00
     McInt
    1.00
     Goodman
    1.00
     Meier
    0.99
    Activations Density 0.199%

    No Known Activations