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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. 7-RES-JB
    11. 21690
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    INDEX
    Explanations

    references to specific events or incidents with strong evidence

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     underscores
    -0.76
     partName
    -0.74
    izations
    -0.72
     definitions
    -0.70
     Definitions
    -0.70
     adject
    -0.68
     underscore
    -0.66
    gallery
    -0.65
     contrasts
    -0.65
    ctory
    -0.63
    POSITIVE LOGITS
    senal
    1.02
     indeed
    0.99
     engaged
    0.89
     secretly
    0.89
     actually
    0.82
     unlawfully
    0.82
     possessed
    0.80
     inappropriately
    0.78
     somehow
    0.77
     cheated
    0.76
    Activations Density 0.466%

    No Known Activations