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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. 14667
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    INDEX
    Explanations

    phrases related to athletes or sports players

    oai_token-act-pair · gpt-3.5-turbo

    references to players in a sports context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    Operation
    -0.80
    ories
    -0.79
    ĺħ
    -0.70
     Beir
    -0.67
    ½
    -0.64
    ŃĶ
    -0.63
    į
    -0.62
    een
    -0.61
    ¿½
    -0.61
    ctr
    -0.60
    POSITIVE LOGITS
     kneeling
    0.80
     jerseys
    0.79
     drafted
    0.75
    inic
    0.74
    player
    0.73
    aces
    0.71
    players
    0.71
     rosters
    0.70
     players
    0.70
    haw
    0.69
    Activations Density 0.046%

    No Known Activations