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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. 6-RES-JB
    11. 7395
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    INDEX
    Explanations

    references to physical objects or locations, specifically tables

    oai_token-act-pair · gpt-3.5-turbo

    references to tables, particularly "Table 9" and "Table 8" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vernment
    -0.97
     Directorate
    -0.72
     Archangel
    -0.69
     Euras
    -0.69
    ï¸ı
    -0.67
    Film
    -0.66
    trak
    -0.66
    natureconservancy
    -0.63
    ï¸
    -0.62
     Enhancement
    -0.62
    POSITIVE LOGITS
    cloth
    1.59
    tops
    1.06
    top
    0.88
    sheet
    0.88
    au
    0.84
    table
    0.84
    poons
    0.84
     manners
    0.83
    sheets
    0.82
     table
    0.82
    Activations Density 0.023%

    No Known Activations