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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. 3-RES-JB
    11. 9813
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    Explanations

    programming commands related to coding sequences

    oai_token-act-pair · gpt-3.5-turbo

    references to line numbers in code or programming documentation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.88
    HCR
    -0.86
    ricular
    -0.84
    raints
    -0.84
    CLASSIFIED
    -0.84
    ntil
    -0.79
    undai
    -0.78
     mathemat
    -0.76
    rum
    -0.75
    ELD
    -0.75
    POSITIVE LOGITS
    breaks
    0.81
    backer
    0.78
     Lines
    0.77
     Stevenson
    0.72
     msec
    0.70
    acters
    0.70
    line
    0.69
     pars
    0.68
     line
    0.68
     endings
    0.67
    Activations Density 0.023%

    No Known Activations