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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. 6-RES-JB
    11. 12291
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    Explanations

    keywords related to the technology company Dell

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the brand "Dell"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥ£
    -0.79
    chest
    -0.77
    Ľ
    -0.75
    ãĥĨ
    -0.72
    malink
    -0.69
     TRAN
    -0.68
    ethnic
    -0.66
    ãĤ¯
    -0.66
     PBS
    -0.66
    eele
    -0.65
    POSITIVE LOGITS
    unia
    0.90
    hiba
    0.80
    antage
    0.79
    yard
    0.78
    aved
    0.77
    mington
    0.75
     lapt
    0.75
     Dell
    0.73
    yards
    0.73
     Staples
    0.73
    Activations Density 0.034%

    No Known Activations