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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. 11-RES-JB
    11. 321
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    Explanations

    names of photographers

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

    No Comments

    Negative Logits
    etheless
    -0.79
     conclud
    -0.71
     srf
    -0.67
     tremend
    -0.66
     referen
    -0.65
     compr
    -0.65
     namely
    -0.65
     stubborn
    -0.64
    theless
    -0.64
     psychiat
    -0.63
    POSITIVE LOGITS
     Photography
    1.07
    /
    1.05
     /
    1.02
     Archive
    0.92
     Jr
    0.92
     III
    0.89
     Archives
    0.85
    /,
    0.82
     REUTERS
    0.82
     Random
    0.81
    Activations Density 0.084%

    No Known Activations