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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. 22154
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    Explanations

    words related to calibration or measurement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "cal" and its variations, suggesting a focus on calculations or metrics

    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
    ĸļ
    -0.94
    icket
    -0.79
    kaya
    -0.68
     Nguyen
    -0.67
     Cosponsors
    -0.67
     bes
    -0.67
    EEP
    -0.65
    ovych
    -0.63
     Kens
    -0.62
     Cherokee
    -0.62
    POSITIVE LOGITS
    cal
    1.20
    ibr
    1.03
    endar
    1.01
    gary
    1.00
    endars
    0.96
    cium
    0.95
    cul
    0.93
     ILCS
    0.92
    culated
    0.92
    ibur
    0.90
    Activations Density 0.007%

    No Known Activations