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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
    11. 7693
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    Explanations

    percentages mentioned in a given document

    oai_token-act-pair · gpt-3.5-turbo

    numerical values associated with specific 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
    hammad
    -0.75
    assic
    -0.69
    peat
    -0.66
    undown
    -0.65
    pared
    -0.64
    veyard
    -0.64
    cedented
    -0.64
    hire
    -0.62
    uden
    -0.62
     eclipse
    -0.62
    POSITIVE LOGITS
    80
    1.22
    70
    0.96
    211
    0.94
    40
    0.89
     ILCS
    0.85
    30
    0.85
    60
    0.84
    50
    0.84
    90
    0.83
     msec
    0.82
    Activations Density 0.037%

    No Known Activations