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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. 8521
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    Explanations

    fractions or numerical ranges

    oai_token-act-pair · gpt-3.5-turbo

    references to numeric values or ratios

    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
    gart
    -0.82
    NSA
    -0.73
    gans
    -0.68
    artifacts
    -0.67
     Vern
    -0.66
    adequ
    -0.66
    atis
    -0.66
    aware
    -0.65
    uay
    -0.64
    BALL
    -0.64
    POSITIVE LOGITS
     ratio
    1.06
     ratios
    0.88
     Ratio
    0.81
     converter
    0.78
     bilingual
    0.77
     correspondence
    0.75
     proposition
    0.74
     transsexual
    0.73
     sided
    0.73
     continuum
    0.73
    Activations Density 0.097%

    No Known Activations