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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. 11357
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to digital content or media

    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
    HM
    -0.72
     Clifford
    -0.69
     Rubin
    -0.65
    Invalid
    -0.64
    ¨
    -0.62
     Layer
    -0.62
     Noise
    -0.61
    runs
    -0.60
     Herbert
    -0.60
     Dmitry
    -0.58
    POSITIVE LOGITS
     tremend
    0.81
    foreseen
    0.80
     diaper
    0.78
     diapers
    0.78
    iments
    0.75
    interstitial
    0.72
    sembly
    0.71
    itiz
    0.71
     bombard
    0.70
    ipeg
    0.68
    Activations Density 0.000%

    No Known Activations