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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. 11-RES-JB
    11. 10074
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    Explanations

    references to statistics and numbers in text

    oai_token-act-pair · gpt-3.5-turbo

    quantitative data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    say
    -0.85
    assuming
    -0.80
    orah
    -0.74
    farious
    -0.68
     Parables
    -0.67
     Saying
    -0.67
     realise
    -0.65
    pose
    -0.64
     insisting
    -0.64
     insist
    -0.63
    POSITIVE LOGITS
     was
    1.29
     lasted
    1.25
     became
    1.21
     has
    1.17
     grew
    1.16
     peaked
    1.15
     went
    1.15
     underwent
    1.14
     transitioned
    1.13
     remains
    1.12
    Activations Density 0.649%

    No Known Activations