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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. 9-RES-JB
    11. 15468
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    Explanations

    mentions of a specific website or project

    oai_token-act-pair · gpt-3.5-turbo

    references to specific organizations or projects related to "eyebrow" or variations of the term

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivities
    -0.80
     nomine
    -0.70
    hips
    -0.68
    FTWARE
    -0.63
    Magikarp
    -0.61
    ivity
    -0.61
     Balt
    -0.59
    VIDIA
    -0.58
     Midnight
    -0.57
     butterflies
    -0.57
    POSITIVE LOGITS
    ruary
    1.51
    oard
    1.18
    edia
    1.02
    rahim
    0.97
    bies
    0.92
    acteria
    0.91
    uild
    0.91
    rican
    0.91
    rief
    0.89
    urger
    0.89
    Activations Density 0.046%

    No Known Activations