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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. 3-RES-JB
    11. 18127
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    Explanations

    references to appearance and fashion

    oai_token-act-pair · gpt-3.5-turbo

    references to appearances and visual assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    versive
    -0.73
    ricular
    -0.72
    EStreamFrame
    -0.72
    scribed
    -0.71
    emonic
    -0.70
    KEN
    -0.70
    CENT
    -0.67
    learning
    -0.64
    pour
    -0.64
    nown
    -0.64
    POSITIVE LOGITS
    ahead
    0.89
    outs
    0.73
     snipp
    0.70
    ared
    0.70
    checks
    0.69
     resemb
    0.69
     pores
    0.68
    ãĤ¶
    0.68
    ENE
    0.67
    finder
    0.67
    Activations Density 0.067%

    No Known Activations