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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. 18062
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    Explanations

    words related to small or minimal things

    oai_token-act-pair · gpt-3.5-turbo

    words related to small or miniature forms

    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
    enegger
    -0.93
    ËĪ
    -0.66
     QR
    -0.64
    nexus
    -0.63
    ãĥ¤
    -0.63
    çļ
    -0.62
    ĪĴ
    -0.61
    govtrack
    -0.61
     Bunny
    -0.61
     Pole
    -0.60
    POSITIVE LOGITS
    nesota
    0.84
    abulary
    0.70
    ographed
    0.68
    ummies
    0.67
    iture
    0.67
    ENTS
    0.65
    hattan
    0.64
    amps
    0.63
    ippi
    0.63
    isode
    0.62
    Activations Density 0.133%

    No Known Activations