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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. 2-RES-JB
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    Explanations

    numerical values related to percentages

    oai_token-act-pair · gpt-3.5-turbo

    numerical data points and percentages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gets
    -0.77
    giving
    -0.73
    holders
    -0.71
    bub
    -0.71
    tub
    -0.69
    shots
    -0.67
    seeing
    -0.67
    iky
    -0.67
     nationalists
    -0.66
    stract
    -0.65
    POSITIVE LOGITS
    90
    0.92
    65
    0.90
    97
    0.88
    80
    0.86
    999
    0.86
    95
    0.84
    96
    0.83
    98
    0.82
    99
    0.82
    765
    0.81
    Activations Density 0.023%

    No Known Activations