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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. 11-RES-JB
    11. 17075
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    INDEX
    Explanations

    percentages and related numerical figures

    oai_token-act-pair · gpt-3.5-turbo

    data related to percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ñ
    -0.87
    senal
    -0.83
    ò
    -0.82
    ModLoader
    -0.81
    ThumbnailImage
    -0.73
    ä
    -0.69
    Nitrome
    -0.69
     tremend
    -0.68
     enthusi
    -0.68
     challeng
    -0.67
    POSITIVE LOGITS
     cent
    1.37
    cent
    0.84
    cm
    0.84
     metre
    0.81
     cm
    0.78
     Cent
    0.76
    cill
    0.75
     kg
    0.74
     cents
    0.73
     %
    0.72
    Activations Density 0.017%

    No Known Activations