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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. 927
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    Explanations

    numerical data and statistics

    oai_token-act-pair · gpt-3.5-turbo

    mentions of numerical data or statistics

    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
    Interstitial
    -0.81
    CLA
    -0.74
    entimes
    -0.71
    enment
    -0.68
    successfully
    -0.67
    route
    -0.66
    athing
    -0.64
     Deals
    -0.63
     Ai
    -0.63
    Condition
    -0.62
    POSITIVE LOGITS
     underestimate
    0.83
     inflated
    0.82
     statistical
    0.80
     statistic
    0.79
     underest
    0.79
     projections
    0.77
     tally
    0.75
     graphs
    0.75
     sums
    0.75
     tallied
    0.74
    Activations Density 0.364%

    No Known Activations