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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. 7401
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    INDEX
    Explanations

    numerical ratios or proportions

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical ratios

    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
    gotten
    -0.74
    uggage
    -0.73
    dream
    -0.71
    inelli
    -0.69
    pocket
    -0.69
    REAM
    -0.66
    sylvania
    -0.65
    laughter
    -0.65
    asts
    -0.65
    oard
    -0.63
    POSITIVE LOGITS
    xual
    1.02
     ratios
    0.97
     ratio
    0.86
     mismatch
    0.85
    yip
    0.81
    nces
    0.81
    ically
    0.74
    ical
    0.71
     numer
    0.70
    idy
    0.68
    Activations Density 0.024%

    No Known Activations