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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. 9-RES-JB
    11. 5627
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    INDEX
    Explanations

    words related to successful or exceptional performances in sports or competitions

    oai_token-act-pair · gpt-3.5-turbo

    references to strong performances or significant achievements in sports or competitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nig
    -0.63
     urgently
    -0.62
    wiki
    -0.62
     Defendants
    -0.61
     jurisdiction
    -0.61
     hired
    -0.60
    BG
    -0.60
     slang
    -0.60
     Parking
    -0.59
     JUSTICE
    -0.58
    POSITIVE LOGITS
     performances
    1.23
     performance
    1.09
     outings
    1.08
     outing
    1.07
     accomplishments
    1.03
     streak
    1.01
     stint
    0.96
     successes
    0.95
     accomplishment
    0.93
     weekend
    0.93
    Activations Density 0.393%

    No Known Activations