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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. 21829
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    INDEX
    Explanations

    mentions of types of footwear, especially shoes

    oai_token-act-pair · gpt-3.5-turbo

    references to shoes

    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
    umbn
    -0.80
    enance
    -0.73
    yrinth
    -0.70
     horm
    -0.69
    SHIP
    -0.67
    iov
    -0.65
    ancial
    -0.65
    ENTS
    -0.65
    REDACTED
    -0.64
    itative
    -0.63
    POSITIVE LOGITS
    toe
    1.11
     shoes
    1.04
    horn
    0.99
     footwear
    0.99
     worn
    0.95
     heel
    0.94
    prints
    0.91
    pins
    0.91
    pees
    0.91
    wear
    0.90
    Activations Density 0.044%

    No Known Activations