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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. 12768
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    INDEX
    Explanations

    actions that are expected to follow a certain sequence or order

    oai_token-act-pair · gpt-3.5-turbo

    first-person statements about intentions or actions

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    soType
    -0.63
    Living
    -0.62
     Lives
    -0.58
    existent
    -0.58
     Living
    -0.58
    living
    -0.57
    Related
    -0.55
    benef
    -0.55
    Growing
    -0.55
    Ever
    -0.54
    POSITIVE LOGITS
     proceed
    1.36
     commence
    1.11
     decide
    1.08
     proceeded
    1.08
     resume
    1.04
     begin
    1.03
     withdraw
    0.99
     retrieve
    0.97
     remove
    0.96
     descend
    0.96
    Activations Density 0.434%

    No Known Activations