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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. 9606
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    Explanations

    year numbers

    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
    EStreamFrame
    -0.81
    venge
    -0.70
    tro
    -0.63
    hop
    -0.63
    edo
    -0.62
     clust
    -0.61
    prime
    -0.60
     distingu
    -0.59
    erate
    -0.59
     unw
    -0.59
    POSITIVE LOGITS
     onwards
    0.73
    -'
    0.71
    1968
    0.70
    å¹
    0.69
     onward
    0.68
    1966
    0.68
     census
    0.66
     Chevrolet
    0.66
     BCE
    0.65
    1967
    0.65
    Activations Density 0.049%

    No Known Activations