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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. 8-RES-JB
    11. 8565
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    Explanations

    numbers that are predominantly 35 within the text

    oai_token-act-pair · gpt-3.5-turbo

    references to the number thirty-five

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.75
    imation
    -0.72
     Payton
    -0.69
    fall
    -0.68
    prises
    -0.67
    hran
    -0.64
     indo
    -0.63
    nesday
    -0.63
    akening
    -0.62
    prise
    -0.62
    POSITIVE LOGITS
    00
    1.35
    th
    0.86
    rd
    0.82
    mm
    0.78
    TH
    0.78
    50
    0.76
    nm
    0.75
    MM
    0.74
    01
    0.74
    ¢
    0.72
    Activations Density 0.076%

    No Known Activations