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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. 5005
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    Explanations

    hyphenated words or phrases

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numerical or statistical data associated with collective entities or measurements

    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
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    No Comments

    Negative Logits
     Rica
    -0.79
     Nights
    -0.63
    OUGH
    -0.61
     Shades
    -0.60
     Morrow
    -0.59
     Reviews
    -0.58
     Extras
    -0.56
     Brus
    -0.56
     Solitaire
    -0.55
     wells
    -0.55
    POSITIVE LOGITS
    industrial
    0.87
    iest
    0.85
    awaited
    0.83
    cont
    0.82
    division
    0.79
    dominated
    0.79
    same
    0.78
    exclusive
    0.78
    loving
    0.78
    sized
    0.77
    Activations Density 0.229%

    No Known Activations