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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. 7-RES-JB
    11. 10880
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    Explanations

    references to men

    oai_token-act-pair · gpt-3.5-turbo

    references to men in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IVERS
    -0.82
    REDACTED
    -0.76
    Accessory
    -0.74
    Deal
    -0.73
    REC
    -0.71
    Berry
    -0.67
    KEN
    -0.67
    Main
    -0.66
    EV
    -0.65
    VICE
    -0.65
    POSITIVE LOGITS
    volent
    1.39
    opausal
    1.32
    endez
    1.21
    ager
    1.11
    uscript
    1.06
    aced
    1.03
    orah
    1.00
    aces
    0.98
    folk
    0.96
    agers
    0.93
    Activations Density 0.050%

    No Known Activations