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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. 11551
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    Explanations

    numbers with decimal points

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and statistics related to performance metrics

    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
    redo
    -0.86
     Wilde
    -0.82
    fork
    -0.76
    achev
    -0.73
    arest
    -0.70
    sonian
    -0.67
     scissors
    -0.66
    aucus
    -0.65
    idon
    -0.65
     marqu
    -0.65
    POSITIVE LOGITS
     percent
    1.01
    %
    0.99
    %;
    0.95
    %,
    0.91
    %.
    0.90
     ±
    0.88
    kHz
    0.86
     kHz
    0.84
     mph
    0.83
     acres
    0.83
    Activations Density 0.076%

    No Known Activations