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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. 3147
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    INDEX
    Explanations

    names of individuals and organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to individuals or groups discussed in the context of a story or event

    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
     deval
    -0.69
     normalized
    -0.64
     itself
    -0.64
     overwhelming
    -0.63
     unfavorable
    -0.62
     triv
    -0.61
    raq
    -0.61
    Compare
    -0.60
     predetermined
    -0.60
     fragmented
    -0.60
    POSITIVE LOGITS
     Architects
    0.79
     Orchestra
    0.77
     Photographer
    0.75
     Photograph
    0.75
    ocene
    0.71
     vocals
    0.67
    buquerque
    0.66
     Photography
    0.66
    çĶ°
    0.65
     sax
    0.65
    Activations Density 0.834%

    No Known Activations