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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. 11-RES-JB
    11. 21441
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    INDEX
    Explanations

    phrases related to expertise or excellence in specific fields like sports or arts

    oai_token-act-pair · gpt-3.5-turbo

    references to rankings or positions of players in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REL
    -0.80
    Winged
    -0.75
     Cosponsors
    -0.74
    roth
    -0.70
    Ku
    -0.69
    Virgin
    -0.67
    Cause
    -0.67
    lav
    -0.66
    spir
    -0.65
    ku
    -0.64
    POSITIVE LOGITS
     baseball
    1.20
     football
    1.13
     NFL
    1.11
     franchise
    1.06
     league
    1.05
     NBA
    1.05
     MLS
    1.02
     MLB
    1.00
     history
    0.99
     NHL
    0.98
    Activations Density 0.089%

    No Known Activations