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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. 5-RES-JB
    6. 14073
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    Explanations

    phrases or words related to evaluations or assessments

    oai_token-act-pair · gpt-3.5-turbo

    references to general assessments or evaluations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Caf
    -0.82
     Debor
    -0.74
    rette
    -0.71
     Bry
    -0.67
     Ships
    -0.66
     Speedway
    -0.66
     Minute
    -0.64
     Frie
    -0.64
     Ferry
    -0.64
     Witnesses
    -0.63
    POSITIVE LOGITS
     attractiveness
    0.81
     stability
    0.80
    gebra
    0.79
    heastern
    0.79
     averages
    0.79
     usefulness
    0.76
     overview
    0.76
     standings
    0.76
     consensus
    0.75
     impression
    0.75
    Activations Density 0.016%

    No Known Activations