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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. 0-RES-JB
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    Explanations

    mentions of hats in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hats and related phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Interstitial
    -0.82
    ucha
    -0.72
     Stability
    -0.71
     RD
    -0.71
    zzi
    -0.69
     Unified
    -0.67
    LR
    -0.67
    eworks
    -0.65
     Takeru
    -0.64
     MFT
    -0.64
    POSITIVE LOGITS
     hat
    3.98
     hats
    2.65
     Hat
    2.15
    Hat
    1.97
    hat
    1.96
     Hats
    1.51
     wig
    1.40
     scarf
    1.29
     mustache
    1.28
     sweater
    1.28
    Activations Density 0.014%

    No Known Activations