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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. 6-RES-JB
    11. 24564
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    Explanations

    references to sports matchups and competitive events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    words related to competitive sports matchups

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    istically
    -0.98
    istic
    -0.94
    psons
    -0.86
    isma
    -0.85
    doms
    -0.82
    isms
    -0.81
    shire
    -0.80
    istics
    -0.77
    iar
    -0.77
    icably
    -0.75
    POSITIVE LOGITS
    terness
    0.74
    nces
    0.70
    gpu
    0.70
     disadvant
    0.67
     almonds
    0.66
    pace
    0.66
     matchups
    0.65
     matchup
    0.63
     glare
    0.62
     aspirin
    0.62
    Activations Density 0.056%

    No Known Activations