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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. 181
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    Explanations

    words related to making adjustments or modifications

    oai_token-act-pair · gpt-3.5-turbo

    terms related to adjustment or modification

    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
    OGR
    -0.77
    advertisement
    -0.73
    gom
    -0.71
    jas
    -0.69
    OPA
    -0.68
    ONY
    -0.67
    DoS
    -0.67
     Chrys
    -0.67
    gil
    -0.66
    ACA
    -0.66
    POSITIVE LOGITS
     adjustments
    0.96
     adjustment
    0.93
    ments
    0.93
     adjust
    0.90
     adjusting
    0.87
    imar
    0.84
     balances
    0.81
     thresholds
    0.81
     adjusts
    0.81
     equilibrium
    0.80
    Activations Density 0.049%

    No Known Activations