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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    references to sports jerseys

    oai_token-act-pair · gpt-3.5-turbo

    references to jerseys

    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
     Stim
    -0.70
     CONTROL
    -0.69
     Contra
    -0.67
    ¯¯¯¯
    -0.64
     Functions
    -0.63
     Intelligence
    -0.61
    stim
    -0.61
    cess
    -0.61
     Counsel
    -0.60
     Serv
    -0.60
    POSITIVE LOGITS
     jersey
    3.79
     jerseys
    2.72
     sweater
    1.55
     shirt
    1.55
    shirt
    1.30
     jacket
    1.25
    hirt
    1.24
     helmet
    1.20
     shirts
    1.20
     scarf
    1.18
    Activations Density 0.012%

    No Known Activations