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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 9764
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    Explanations

    formulas, conditions, or scenarios related to science or experimental subjects

    oai_token-act-pair · gpt-3.5-turbo

    parenthetical phrases or expressions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dangerously
    -0.77
     heavily
    -0.74
     completely
    -0.73
     glare
    -0.73
     retard
    -0.71
     baffled
    -0.71
     whip
    -0.71
     firmly
    -0.71
     bows
    -0.71
     awfully
    -0.70
    POSITIVE LOGITS
    see
    1.65
    including
    1.64
    such
    1.62
    excluding
    1.55
    typically
    1.54
    except
    1.52
    usually
    1.50
    Figure
    1.50
    often
    1.47
    especially
    1.46
    Activations Density 0.157%

    No Known Activations