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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

    names or terms related to prisons or prisoners

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals, particularly those associated with the prison system

    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
    bush
    -0.73
    Austral
    -0.73
     Carly
    -0.67
    assi
    -0.66
     Rory
    -0.66
     Fiorina
    -0.66
    heed
    -0.65
    pole
    -0.65
     Marino
    -0.65
     Venezuel
    -0.64
    POSITIVE LOGITS
    elsen
    3.48
     prisoner
    1.34
     tal
    1.24
     Pioneer
    1.21
    utenberg
    1.12
     FB
    0.95
    sight
    0.95
     Kod
    0.94
    tten
    0.88
    FB
    0.83
    Activations Density 0.050%

    No Known Activations