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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. 5673
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    Explanations

    words expressing emotions or feelings

    oai_token-act-pair · gpt-3.5-turbo

    emotional expressions and reactions

    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
     contribution
    -0.79
     divergence
    -0.73
     occurrence
    -0.71
     clicks
    -0.70
     snippet
    -0.69
    deals
    -0.68
     amendment
    -0.67
    CRIPTION
    -0.67
     similarity
    -0.67
     sake
    -0.66
    POSITIVE LOGITS
    alysed
    1.24
    ivated
    1.22
    raged
    1.20
    azed
    1.16
    rified
    1.13
    ussed
    1.12
    cerned
    1.12
    iliated
    1.10
    athed
    1.09
    assed
    1.08
    Activations Density 0.285%

    No Known Activations