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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. 1559
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    INDEX
    Explanations

    numerical values in a specific format (e.g., 7-9)

    oai_token-act-pair · gpt-3.5-turbo

    sequences of the number seven

    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
    ument
    -0.79
    gart
    -0.70
     pastoral
    -0.62
     relat
    -0.62
    assetsadobe
    -0.61
    plom
    -0.61
     tant
    -0.60
     savior
    -0.59
    ocard
    -0.59
     baptism
    -0.58
    POSITIVE LOGITS
     Wonders
    1.07
    ecause
    0.99
    ioned
    0.92
    th
    0.91
    eenth
    0.91
    883
    0.89
    69
    0.86
    88
    0.84
    ippi
    0.83
    07
    0.83
    Activations Density 0.080%

    No Known Activations