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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. 10-RES-JB
    11. 6881
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    Explanations

    numerical comparisons

    oai_token-act-pair · gpt-3.5-turbo

    the word "compared" and its occurrences to indicate comparisons between statistical figures or opinions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    azaar
    -0.74
    =-=-=-=-=-=-=-=-
    -0.69
    aza
    -0.68
    uminati
    -0.68
    creen
    -0.64
     manufact
    -0.62
     Everywhere
    -0.61
    mosp
    -0.60
    rage
    -0.56
     vend
    -0.55
    POSITIVE LOGITS
     sharply
    0.86
    ivalent
    0.67
     with
    0.65
    amount
    0.65
     markedly
    0.64
     marginally
    0.62
    gross
    0.62
     favorably
    0.61
    actionDate
    0.61
    pling
    0.59
    Activations Density 0.034%

    No Known Activations