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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. 8-RES-JB
    11. 11909
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    INDEX
    Explanations

    percentages in a specific range

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to percentages or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reviewer
    -0.79
    pmwiki
    -0.75
    endum
    -0.68
    Marginal
    -0.68
    anth
    -0.67
    lon
    -0.66
    Agent
    -0.66
    allowed
    -0.62
    abol
    -0.62
    uay
    -0.61
    POSITIVE LOGITS
     inclusive
    0.92
     mph
    0.82
     respectively
    0.74
     percent
    0.73
    fold
    0.72
     GHz
    0.70
     million
    0.69
     inches
    0.69
     msec
    0.66
    ebted
    0.66
    Activations Density 0.087%

    No Known Activations