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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. 7-RES-JB
    11. 9631
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    Explanations

    mentions of weapons or military-related terms

    oai_token-act-pair · gpt-3.5-turbo
    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
     Woodward
    -0.77
    ãĤ©
    -0.76
    gres
    -0.74
     Dough
    -0.71
    TION
    -0.68
    ered
    -0.66
    init
    -0.66
    ded
    -0.64
    lish
    -0.63
    IENCE
    -0.61
    POSITIVE LOGITS
    ament
    1.12
    chair
    0.89
    aments
    0.89
    leeve
    0.86
    ageddon
    0.82
    manship
    0.81
     traff
    0.79
    chwitz
    0.78
    sembly
    0.78
    guards
    0.78
    Activations Density 0.020%

    No Known Activations