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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. 0-RES-JB
    11. 1917
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    Explanations

    keywords related to American football defensive maneuvers, specifically rushing the passer

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports terminology and spectators

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Manufacturing
    -0.74
    lich
    -0.67
     Fury
    -0.66
    metic
    -0.66
    gold
    -0.65
     reforming
    -0.65
    annon
    -0.64
     underestimated
    -0.64
     Investments
    -0.63
     Fusion
    -0.63
    POSITIVE LOGITS
     passers
    3.75
     passer
    3.37
     onlook
    1.84
     bystanders
    1.67
     bystand
    1.47
     strangers
    1.38
     roadside
    1.07
     pedestrians
    1.00
     breeze
    0.99
     fuss
    0.95
    Activations Density 0.043%

    No Known Activations