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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. 4-RES-JB
    11. 7595
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Firm
    -0.63
     accur
    -0.60
    anqu
    -0.59
     priced
    -0.59
     cryst
    -0.58
    accompan
    -0.57
    xual
    -0.57
     Cald
    -0.57
     Hurricanes
    -0.55
    signed
    -0.55
    POSITIVE LOGITS
    glers
    1.44
    gers
    0.94
     gag
    0.89
    gap
    0.89
    liest
    0.88
    acious
    0.81
    bub
    0.80
    ulkan
    0.78
     reflex
    0.78
     reel
    0.77
    Activations Density 0.017%

    No Known Activations