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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. 244
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    INDEX
    Explanations

    names of months

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific months and dates

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ascript
    -0.80
    GoldMagikarp
    -0.79
    culosis
    -0.74
    PDATE
    -0.73
    é¾
    -0.72
    umbai
    -0.71
    cheon
    -0.70
    Reviewer
    -0.70
    thodox
    -0.69
    Īè
    -0.69
    POSITIVE LOGITS
    nard
    0.92
    tag
    0.74
    quist
    0.70
    sburg
    0.67
    oub
    0.65
     Gard
    0.63
     Goth
    0.63
    hem
    0.62
    anty
    0.61
    zynski
    0.60
    Activations Density 0.062%

    No Known Activations