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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. 8-RES-JB
    11. 23594
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    INDEX
    Explanations

    mentions of cities or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of geographical locations and related events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    abwe
    -0.74
    yip
    -0.68
    ĪĴ
    -0.67
    Answer
    -0.66
    Merit
    -0.64
    `.
    -0.63
    ¬¼
    -0.63
     deterrence
    -0.62
    etooth
    -0.61
     Pastebin
    -0.60
    POSITIVE LOGITS
     Kubrick
    1.11
     Spielberg
    1.03
     studio
    0.96
     backstage
    0.95
     sequels
    0.95
     audiences
    0.94
     studios
    0.94
     Cannes
    0.93
     Whedon
    0.93
     Films
    0.92
    Activations Density 1.681%

    No Known Activations