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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. 5525
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    Explanations

    a specific three-letter sequence followed by a score number

    oai_token-act-pair · gpt-3.5-turbo

    the presence of the substring "kn."

    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
     Gum
    -0.79
     Gemini
    -0.75
    IUM
    -0.73
     Shinra
    -0.72
    DEM
    -0.72
     Uran
    -0.71
    sem
    -0.70
    grounds
    -0.69
    ahime
    -0.68
     CIS
    -0.67
    POSITIVE LOGITS
    kn
    1.26
    uckle
    1.14
    uckles
    1.08
    mares
    1.06
    ock
    1.04
    ivable
    1.04
    ocking
    1.01
    ows
    0.95
    oks
    0.94
    icker
    0.94
    Activations Density 0.007%

    No Known Activations