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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. 11-RES-JB
    11. 5996
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    INDEX
    Explanations

    mentions of specific numbers and quantities

    oai_token-act-pair · gpt-3.5-turbo

    references to critical assessments or evaluations of situations and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĢ
    -1.14
     âĢ
    -0.94
    ÂŃ
    -0.77
    -0.75
    âĸ
    -0.73
    à©
    -0.72
    ãĤ¦
    -0.72
    ãģĦ
    -0.71
     ÂŃ
    -0.70
    âĢł
    -0.69
    POSITIVE LOGITS
     anyways
    0.90
     anyway
    0.84
     BEFORE
    0.80
     doesnt
    0.78
     didnt
    0.76
    !),
    0.76
     THEN
    0.76
     AFTER
    0.73
    ?),
    0.72
     wont
    0.71
    Activations Density 1.333%

    No Known Activations