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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. 13137
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    Explanations

    proper nouns, such as names of individuals and locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those named Sherman and Stanton

    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
     Gutenberg
    -0.94
    versions
    -0.77
    rium
    -0.75
     NATO
    -0.73
     Yugoslav
    -0.71
    opal
    -0.69
    eros
    -0.68
    hest
    -0.67
    here
    -0.67
    err
    -0.67
    POSITIVE LOGITS
     Oaks
    1.01
     Sherman
    0.97
    agements
    0.85
    stein
    0.80
     Norton
    0.73
    ville
    0.72
    bach
    0.70
    alties
    0.70
     Firefly
    0.70
    ãĥī
    0.69
    Activations Density 0.009%

    No Known Activations