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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. 4-RES-JB
    11. 16537
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    Explanations

    sports teams or players competing against each other

    oai_token-act-pair · gpt-3.5-turbo

    matchups or comparisons between teams or competitors

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

    No Comments

    Negative Logits
    shire
    -0.75
    spot
    -0.71
    collar
    -0.70
    Uncommon
    -0.69
    bean
    -0.69
    yrinth
    -0.68
    DragonMagazine
    -0.66
    STEP
    -0.65
    ecided
    -0.65
    estern
    -0.65
    POSITIVE LOGITS
    creen
    0.77
    ipers
    0.67
    .,
    0.65
     relativity
    0.65
    idy
    0.63
     RHP
    0.63
    awar
    0.61
    ustain
    0.60
    ils
    0.59
    ushi
    0.58
    Activations Density 0.008%

    No Known Activations