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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. 15226
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    Explanations

    financial and statistical terms and figures

    oai_token-act-pair · gpt-3.5-turbo

    numerical references to financial or demographic data

    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
     Canaver
    -0.76
    Slow
    -0.73
     misunderstand
    -0.71
    endor
    -0.71
     scares
    -0.68
    bugs
    -0.68
     Carbuncle
    -0.66
    ame
    -0.66
    nesday
    -0.66
     Freak
    -0.65
    POSITIVE LOGITS
    ropolitan
    0.93
     Commonwealth
    0.83
     vocational
    0.77
     residential
    0.77
     occupational
    0.77
    cellaneous
    0.76
     auxiliary
    0.76
     specialty
    0.75
     inactive
    0.74
     Supplementary
    0.74
    Activations Density 0.544%

    No Known Activations