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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. 2-RES-JB
    11. 6342
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ede
    -0.76
    bi
    -0.74
    cas
    -0.73
    nee
    -0.72
    ne
    -0.72
    thur
    -0.71
    apo
    -0.69
    cot
    -0.68
    nton
    -0.66
    hatt
    -0.66
    POSITIVE LOGITS
    rious
    0.93
     Downloads
    0.81
     outputs
    0.81
    furt
    0.79
    smanship
    0.79
    Output
    0.79
     PRODUCT
    0.77
    encers
    0.75
    ĸļ
    0.74
     yields
    0.74
    Activations Density 0.020%

    No Known Activations