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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. 4-RES-JB
    11. 1748
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    Explanations

    verbs related to exerting effort or influence

    oai_token-act-pair · gpt-3.5-turbo

    words related to exertion or influence

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

    No Comments

    Negative Logits
    externalActionCode
    -0.76
     Redemption
    -0.71
    BuyableInstoreAndOnline
    -0.71
    ADE
    -0.68
    oho
    -0.68
     Marble
    -0.67
    blogspot
    -0.66
    corn
    -0.64
     Levant
    -0.64
    MET
    -0.64
    POSITIVE LOGITS
     exerted
    1.12
     exert
    0.94
    resses
    0.94
    ions
    0.93
    ments
    0.92
    ional
    0.89
    uates
    0.87
    ricular
    0.86
    sburg
    0.86
    uate
    0.86
    Activations Density 0.016%

    No Known Activations