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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. 2460
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    Explanations

    titles of various entities, such as TV series, blogs, games, and poems

    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
     mechanically
    -0.62
     conclud
    -0.60
     subdiv
    -0.60
     theoretically
    -0.59
     terminology
    -0.58
     similarly
    -0.58
     customary
    -0.57
     ordinarily
    -0.57
     weakened
    -0.57
     exacerbated
    -0.55
    POSITIVE LOGITS
    Girls
    0.70
    2020
    0.68
    Gaming
    0.66
    Haunted
    0.65
    Future
    0.64
    Hunt
    0.63
    Imp
    0.62
    Ops
    0.61
    Surv
    0.61
    Leaks
    0.60
    Activations Density 0.790%

    No Known Activations