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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. 9-RES-JB
    11. 5409
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    INDEX
    Explanations

    percentages or proportions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that quantify percentages or proportions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Few
    -0.68
    mpeg
    -0.65
    ebin
    -0.64
    _(
    -0.63
    andal
    -0.63
    ful
    -0.61
    most
    -0.61
    apego
    -0.61
    cknowled
    -0.60
    alid
    -0.59
    POSITIVE LOGITS
     variance
    0.88
     GDP
    0.78
     calories
    0.69
     surveyed
    0.68
     revenues
    0.66
     total
    0.66
     capacity
    0.63
     Votes
    0.63
     respondents
    0.62
     occurrences
    0.61
    Activations Density 0.124%

    No Known Activations