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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. 24302
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    INDEX
    Explanations

    categories or labels denoted by the sentence structure

    oai_token-act-pair · gpt-3.5-turbo

    punctuation and question marks, indicating queries or confirmations

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ilater
    -0.81
     mosqu
    -0.79
     spons
    -0.79
    psey
    -0.76
    ascus
    -0.74
    utherland
    -0.69
    elaide
    -0.68
     conclud
    -0.67
    irez
    -0.66
     authorised
    -0.66
    POSITIVE LOGITS
    yet
    0.83
     adjective
    0.78
     Dragonbound
    0.77
    Medium
    0.77
     Somew
    0.75
     (>
    0.74
     Subtle
    0.73
     Definitely
    0.73
    enough
    0.73
    true
    0.72
    Activations Density 0.292%

    No Known Activations