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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. 7-RES-JB
    11. 13619
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    Explanations

    words related to the process of fermentation, especially involving grains like barley, rye, and sorghum

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific phonetic sequences or sounds

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IAL
    -0.71
     prescribed
    -0.64
     Bots
    -0.62
     Stra
    -0.62
     closest
    -0.61
    secut
    -0.60
    nesday
    -0.60
     satell
    -0.59
    cedes
    -0.59
     kindred
    -0.59
    POSITIVE LOGITS
    ttp
    1.16
    ouls
    1.10
    tml
    1.01
    awk
    0.97
    orns
    0.93
    orst
    0.92
    arrison
    0.89
    azard
    0.89
    olics
    0.88
    warts
    0.88
    Activations Density 0.017%

    No Known Activations