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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. 4-RES-JB
    11. 9491
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    Explanations

    spokespersons in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to spokespersons or representatives

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

    No Comments

    Negative Logits
    spir
    -0.78
    csv
    -0.71
    ech
    -0.71
    JP
    -0.68
     1924
    -0.65
    avery
    -0.65
    vag
    -0.65
    tnc
    -0.64
    1972
    -0.63
    ced
    -0.63
    POSITIVE LOGITS
     spokesman
    0.83
     Sean
    0.70
     Steph
    0.69
     spokesperson
    0.69
     phyl
    0.68
     sergeant
    0.68
    arten
    0.67
     responding
    0.66
     Debor
    0.66
     spokeswoman
    0.65
    Activations Density 0.025%

    No Known Activations