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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. 10-RES-JB
    11. 7165
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    INDEX
    Explanations

    specific rankings or evaluations related to individuals' performance

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to athletic performance and rankings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.82
    externalActionCode
    -0.78
    agate
    -0.77
    BOOK
    -0.74
    trip
    -0.74
    STATE
    -0.71
    soType
    -0.71
    LOG
    -0.70
     Donation
    -0.70
    cation
    -0.69
    POSITIVE LOGITS
     rookies
    1.56
     players
    1.55
     quarterbacks
    1.42
     athletes
    1.41
     talent
    1.40
     player
    1.36
     strikers
    1.35
     rookie
    1.35
     youngsters
    1.34
     athlete
    1.34
    Activations Density 0.282%

    No Known Activations