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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. 22979
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     traveler
    -0.79
    EStreamFrame
    -0.72
     Dynam
    -0.68
     Aires
    -0.67
     Guinness
    -0.66
     CLS
    -0.65
     MacArthur
    -0.63
    LB
    -0.63
    ishable
    -0.63
     guiActiveUn
    -0.62
    POSITIVE LOGITS
    fw
    0.82
    utor
    0.73
    adow
    0.71
    itia
    0.70
    emis
    0.69
    uum
    0.67
    emn
    0.66
    oslav
    0.65
    omi
    0.65
     nat
    0.64
    Activations Density 0.000%

    No Known Activations