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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. 1-RES-JB
    11. 2262
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    INDEX
    Explanations

    specific brand names and promotional phrases

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific brands or programs

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ellen
    -0.91
    ormal
    -0.85
    estate
    -0.79
    unci
    -0.75
    urally
    -0.75
    arb
    -0.74
    olk
    -0.69
    ota
    -0.69
    etta
    -0.69
    arnaev
    -0.68
    POSITIVE LOGITS
     Hearts
    0.99
     Choice
    0.92
     Value
    0.86
     Solutions
    0.85
     Solution
    0.85
     Points
    0.85
    xus
    0.85
     Care
    0.84
     Matters
    0.83
     Cascade
    0.83
    Activations Density 0.062%

    No Known Activations