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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. 4-RES-JB
    11. 20547
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    Explanations

    numerical patterns or sequences, particularly those involving repeated pairs or series

    oai_token-act-pair · gpt-3.5-turbo

    references to categories or labels associated with versioning or identifiers

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

    No Comments

    Negative Logits
    awaru
    -0.89
    efully
    -0.73
    rolet
    -0.71
    otle
    -0.69
    etz
    -0.67
     "$:/
    -0.67
    lehem
    -0.65
    uated
    -0.65
    ufact
    -0.65
    gerald
    -0.65
    POSITIVE LOGITS
    nd
    1.69
    147
    0.96
    ND
    0.94
    160
    0.92
    187
    0.92
    133
    0.90
    245
    0.86
    155
    0.86
     thirds
    0.86
    ½
    0.85
    Activations Density 0.093%

    No Known Activations