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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. 11152
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    Explanations

    negations and contrasts

    oai_token-act-pair · gpt-3.5-turbo

    negative assertions or phrases indicating something is not true or not the case

    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
    estern
    -0.70
    WER
    -0.69
    anish
    -0.67
    ifter
    -0.66
    )=(
    -0.66
    antha
    -0.64
    ERG
    -0.63
    FL
    -0.63
    mare
    -0.62
    umber
    -0.62
    POSITIVE LOGITS
     necessarily
    1.52
    icably
    1.23
     always
    1.10
     uniformly
    1.07
     terribly
    0.93
     inherently
    0.92
     anymore
    0.92
     uncommon
    0.91
     exactly
    0.91
     evenly
    0.89
    Activations Density 0.167%

    No Known Activations