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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. 0-RES-JB
    11. 22782
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    Explanations

    numbers related to time measurements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word 'five' and related numerical values

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     upl
    -0.70
     propag
    -0.67
     completely
    -0.67
     truly
    -0.66
     catalog
    -0.66
     certified
    -0.66
     actively
    -0.66
     bottled
    -0.65
     whims
    -0.65
     guide
    -0.65
    POSITIVE LOGITS
    four
    2.85
    five
    2.77
    three
    2.66
    two
    2.58
    eight
    2.49
    nine
    2.45
    six
    2.44
    seven
    2.42
    one
    1.72
    fourth
    1.57
    Activations Density 0.018%

    No Known Activations