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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. 8-RES-JB
    11. 11914
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    Explanations

    statements related to seeking clarification or information

    oai_token-act-pair · gpt-3.5-turbo

    expressions of intention or plans related to actions or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Whedon
    -0.99
     Briggs
    -0.89
     Simmons
    -0.89
     Slate
    -0.86
     Watkins
    -0.82
    Ohio
    -0.81
     NYC
    -0.79
     Byrd
    -0.79
     Larson
    -0.79
     Lovecraft
    -0.78
    POSITIVE LOGITS
    ),"
    1.03
     Daesh
    1.01
    )",
    1.01
     martyr
    0.97
     Tayyip
    0.93
     manoeuv
    0.92
    ',"
    0.91
     fulfil
    0.91
     Juda
    0.90
    .""
    0.89
    Activations Density 1.449%

    No Known Activations