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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. 4-RES-JB
    11. 14285
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    Explanations

    numbers followed by specific units of measurement

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the number "48" in various contexts

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

    No Comments

    Negative Logits
    ovie
    -0.91
    shire
    -0.77
    apego
    -0.74
     Afric
    -0.74
    bub
    -0.73
    unity
    -0.69
    bard
    -0.69
    llor
    -0.68
    folios
    -0.68
    isson
    -0.65
    POSITIVE LOGITS
    576
    1.10
    MJ
    0.95
    00
    0.88
    eenth
    0.87
    een
    0.85
    kHz
    0.83
    768
    0.83
    80
    0.81
    765
    0.80
     Hours
    0.80
    Activations Density 0.026%

    No Known Activations