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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. 3-RES-JB
    11. 13394
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    Explanations

    references to celestial bodies, particularly comets

    oai_token-act-pair · gpt-3.5-turbo

    mentions of comets and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    skirts
    -0.89
    uckland
    -0.78
    dos
    -0.70
    stract
    -0.67
    lasses
    -0.67
    Hispanic
    -0.66
    antha
    -0.66
    lied
    -0.66
    stood
    -0.64
    radical
    -0.64
    POSITIVE LOGITS
     comet
    1.00
     Ping
    0.97
    hedral
    0.85
     Comet
    0.85
     nucleus
    0.78
     logo
    0.72
     tails
    0.69
     crater
    0.68
     Chaser
    0.65
    htaking
    0.63
    Activations Density 0.009%

    No Known Activations