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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. 9628
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    Explanations

    information about sports games, athletes, and related events

    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
    onym
    -0.80
    yll
    -0.77
    eton
    -0.73
    sth
    -0.73
    itarian
    -0.71
    iq
    -0.71
    mop
    -0.68
    irc
    -0.67
    reprene
    -0.66
    isure
    -0.65
    POSITIVE LOGITS
     albeit
    1.01
     namely
    0.93
     coached
    0.88
     batting
    0.87
     scoring
    0.86
     totaling
    0.85
     beating
    0.85
     finishing
    0.84
     earning
    0.83
     teammate
    0.82
    Activations Density 0.334%

    No Known Activations