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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. 10-RES-JB
    11. 23377
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to lists or enumerations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    utenant
    -0.83
    atown
    -0.76
    meier
    -0.75
    ilage
    -0.75
    sup
    -0.74
    raper
    -0.74
    ij士
    -0.73
    orescence
    -0.71
    ²¾
    -0.71
    ppe
    -0.70
    POSITIVE LOGITS
     paragraphs
    0.98
     statement
    0.92
     scenarios
    0.92
     caveats
    0.91
    mentioned
    0.91
     keywords
    0.91
    :[
    0.91
     statements
    0.90
     criteria
    0.90
     characteristics
    0.89
    Activations Density 0.036%

    No Known Activations