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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. 3985
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    Explanations

    references to measurements, specifically the width property

    oai_token-act-pair · gpt-3.5-turbo

    measurements and specifications related to width

    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
    andum
    -0.87
    ovie
    -0.69
    ogical
    -0.69
    onto
    -0.67
    OTA
    -0.67
    zin
    -0.67
    ectomy
    -0.66
     Cosponsors
    -0.66
    ón
    -0.66
    inances
    -0.65
    POSITIVE LOGITS
    s
    0.88
     Width
    0.86
    sheet
    0.85
     circumference
    0.83
    sw
    0.83
    ï¸
    0.82
     width
    0.82
    pread
    0.80
    sd
    0.80
    sworth
    0.77
    Activations Density 0.031%

    No Known Activations