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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. 7913
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    INDEX
    Explanations

    numerical dimensions, particularly focusing on widths

    oai_token-act-pair · gpt-3.5-turbo

    references to dimensions and sizes, particularly related to width

    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
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    No Comments

    Negative Logits
    andum
    -0.89
    plet
    -0.85
    ón
    -0.73
    ruption
    -0.71
    dinand
    -0.70
    onte
    -0.67
    ovie
    -0.67
    ectomy
    -0.66
    OTA
    -0.66
    pora
    -0.65
    POSITIVE LOGITS
    sheet
    0.92
    ï¸
    0.92
    sheets
    0.92
     width
    0.89
    sd
    0.83
    s
    0.81
     Width
    0.80
    pread
    0.79
    width
    0.78
    eous
    0.77
    Activations Density 0.017%

    No Known Activations