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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. 9-RES-JB
    11. 6858
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    Explanations

    Indian names

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    liest
    -0.75
    idious
    -0.75
    glers
    -0.73
    keye
    -0.70
    erion
    -0.69
    abouts
    -0.68
    emaker
    -0.67
    roads
    -0.66
    mates
    -0.66
    gest
    -0.66
    POSITIVE LOGITS
     Hir
    0.90
     Abdullah
    0.85
     Singh
    0.85
     Ali
    0.84
     Hos
    0.83
     Kard
    0.83
     Quin
    0.82
     Har
    0.81
     Perez
    0.81
     Henderson
    0.79
    Activations Density 0.178%

    No Known Activations