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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. 0-RES-JB
    11. 19163
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    Explanations

    phrases or words expressing a connection or correlation between various entities or concepts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate relationships or connections between subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    maxwell
    -0.74
    itone
    -0.73
    umph
    -0.70
     Petty
    -0.66
    acular
    -0.65
    á
    -0.63
    nov
    -0.62
     Wins
    -0.62
    ................
    -0.61
    Format
    -0.60
    POSITIVE LOGITS
     linked
    3.62
    linked
    2.37
     linking
    1.93
     link
    1.84
     connected
    1.78
     links
    1.69
     associated
    1.68
     implicated
    1.59
     tied
    1.58
     correlated
    1.52
    Activations Density 0.017%

    No Known Activations