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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. 16987
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    INDEX
    Explanations

    mentions of sports statistics, specifically goals, assists, points, and other related metrics

    oai_token-act-pair · gpt-3.5-turbo

    the preposition "in" 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
    onym
    -0.72
     %%
    -0.69
    ensor
    -0.63
    dor
    -0.62
    ruff
    -0.61
    emis
    -0.61
    ctor
    -0.60
    Found
    -0.60
    NOW
    -0.59
     professors
    -0.59
    POSITIVE LOGITS
     favor
    1.14
     favour
    1.07
     lieu
    1.05
    juries
    1.00
    jury
    0.99
     unison
    0.98
     spite
    0.98
     tandem
    0.97
    clusions
    0.96
    efficiency
    0.96
    Activations Density 0.267%

    No Known Activations