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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. 11260
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    Explanations

    verbs indicating actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating completed actions or achievements

    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
    rish
    -0.76
    iru
    -0.73
     Sabha
    -0.70
    ofi
    -0.62
    article
    -0.61
     anymore
    -0.60
    inki
    -0.60
    November
    -0.60
    Pierre
    -0.60
    now
    -0.60
    POSITIVE LOGITS
     countless
    1.11
     innumerable
    0.98
     extensively
    0.94
     numerous
    0.92
     hitherto
    0.91
     plenty
    0.89
     since
    0.83
     enough
    0.82
     dozens
    0.76
     previously
    0.76
    Activations Density 0.279%

    No Known Activations