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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. 2-RES-JB
    11. 15459
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    Explanations

    sequences of hexadecimal numbers

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the character "x" in various formats

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assetsadobe
    -0.74
     Pru
    -0.74
    DERR
    -0.73
    awaru
    -0.71
     recre
    -0.67
     Garry
    -0.66
    milo
    -0.66
    rawdownloadcloneembedreportprint
    -0.65
     sten
    -0.65
     resil
    -0.65
    POSITIVE LOGITS
    avier
    1.11
    posed
    1.03
    imity
    0.98
    posing
    0.89
    amples
    0.88
    posure
    0.88
    ansion
    0.86
    cb
    0.85
    iang
    0.84
    oned
    0.84
    Activations Density 0.015%

    No Known Activations