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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. 13605
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    Explanations

    phrases related to making informed decisions or choices

    oai_token-act-pair · gpt-3.5-turbo

    key concepts related to decision-making and providing optimal options or services

    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
     caveats
    -0.77
     todd
    -0.77
     winding
    -0.69
     withdrawing
    -0.68
    draw
    -0.68
     repud
    -0.68
     denominations
    -0.67
     denouncing
    -0.66
     caveat
    -0.66
     hint
    -0.65
    POSITIVE LOGITS
    ordable
    0.89
    ãģ®éŃĶ
    0.89
     optimum
    0.84
    Resp
    0.82
     optimal
    0.82
     sustainable
    0.80
    Quality
    0.79
    cellence
    0.73
    itect
    0.72
    imum
    0.72
    Activations Density 0.632%

    No Known Activations