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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. 8639
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    Explanations

    hexadecimal color codes

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'x' in various formats, potentially indicating hexadecimal values or patterns

    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
     recre
    -0.82
     convol
    -0.73
    assetsadobe
    -0.73
    awaru
    -0.73
     associations
    -0.70
    Ń·
    -0.68
     medi
    -0.67
     appropri
    -0.66
     conflic
    -0.66
     recreation
    -0.65
    POSITIVE LOGITS
    posed
    1.02
    xe
    0.98
    ansion
    0.95
    xt
    0.93
    xd
    0.92
    amples
    0.91
    imity
    0.91
    avier
    0.90
    xf
    0.89
    x
    0.88
    Activations Density 0.018%

    No Known Activations