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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. 14822
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    Explanations

    statistics related to basketball players

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to sports performance

    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
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    No Comments

    Negative Logits
     Lauder
    -0.66
    ould
    -0.64
     Laboratories
    -0.63
    apego
    -0.60
     Carbuncle
    -0.59
    company
    -0.58
     Romeo
    -0.57
    uers
    -0.56
     Hosp
    -0.54
    ellation
    -0.53
    POSITIVE LOGITS
     rebounds
    1.04
     touches
    1.01
     yards
    0.99
     points
    0.97
     assists
    0.96
     minutes
    0.93
     pounds
    0.90
     possessions
    0.78
     MPG
    0.78
     RPM
    0.76
    Activations Density 0.069%

    No Known Activations