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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. 20778
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    INDEX
    Explanations

    mentions of measurements or sizes, specifically focusing on millimeters

    oai_token-act-pair · gpt-3.5-turbo

    measurements related to millimeters

    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
    ij士
    -0.72
     toile
    -0.71
    come
    -0.71
    GROUND
    -0.70
    comes
    -0.69
    peak
    -0.64
    lez
    -0.64
     Poc
    -0.64
     Dickens
    -0.64
    KEN
    -0.63
    POSITIVE LOGITS
    mmm
    1.03
    ueller
    0.89
    ORPG
    0.88
     diameter
    0.88
    mm
    0.86
    ooth
    0.82
    endment
    0.80
    oses
    0.80
    useum
    0.79
    itted
    0.77
    Activations Density 0.009%

    No Known Activations