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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. 1-RES-JB
    11. 16272
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    Explanations

    mentions of additional items or quantities in a list

    oai_token-act-pair · gpt-3.5-turbo

    references to additional content or elements in a narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AIN
    -0.80
     Leban
    -0.72
    landish
    -0.71
    lehem
    -0.70
    ALLY
    -0.67
     Stop
    -0.66
    ridges
    -0.66
     DeV
    -0.66
    taboola
    -0.63
     Lur
    -0.63
    POSITIVE LOGITS
     biome
    0.73
    nesota
    0.70
     chances
    0.70
    greg
    0.70
     orderly
    0.69
     phyl
    0.68
    iciary
    0.67
    jong
    0.65
    burg
    0.63
    aceous
    0.63
    Activations Density 0.000%

    No Known Activations