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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 4595
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    Explanations

    words related to footwear

    oai_token-act-pair · gpt-3.5-turbo

    mentions of shoes

    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
    enance
    -0.83
    PsyNetMessage
    -0.75
    REDACTED
    -0.69
    ancial
    -0.69
    iversal
    -0.69
    maxwell
    -0.68
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.68
    lishes
    -0.68
    SHIP
    -0.67
    yrinth
    -0.67
    POSITIVE LOGITS
    horn
    1.19
    toe
    1.00
     shoes
    0.99
    pee
    0.97
     Shoes
    0.93
    prints
    0.90
     shoe
    0.88
     worn
    0.85
     footwear
    0.84
    bridge
    0.83
    Activations Density 0.032%

    No Known Activations