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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. 16171
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    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
    Ö¼
    -0.73
    ãĤ´
    -0.65
    ãĥ¯ãĥ³
    -0.64
    inet
    -0.61
    ixty
    -0.61
    ãĥĻ
    -0.60
    isure
    -0.59
    iological
    -0.59
    ="#
    -0.59
    bara
    -0.59
    POSITIVE LOGITS
     themselves
    1.48
     theirs
    1.14
     their
    1.13
     THEIR
    0.91
    their
    0.85
     respective
    0.83
     us
    0.82
     ours
    0.82
    selves
    0.78
     him
    0.78
    Activations Density 0.908%

    No Known Activations