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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. 1-RES-JB
    11. 5590
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    Explanations

    names of specific individuals and companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific individuals, particularly Hugh Hewitt and discussions about catastrophic events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     commissioner
    -0.70
    Georg
    -0.69
    iety
    -0.68
    osta
    -0.67
     borough
    -0.67
    assic
    -0.66
    WAY
    -0.65
    raped
    -0.65
    RAW
    -0.64
    gomery
    -0.64
    POSITIVE LOGITS
    ihara
    0.95
     Fiorina
    0.93
    ython
    0.92
     Hew
    0.92
    chens
    0.86
    lessly
    0.83
    oenix
    0.78
     Hiroshima
    0.77
     Aires
    0.77
    zza
    0.75
    Activations Density 0.015%

    No Known Activations