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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. 11316
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    Explanations

    numerical statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    statistical performance metrics related to average values in sports contexts

    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
    士
    -0.63
    clus
    -0.58
    eros
    -0.56
     narrator
    -0.55
    eric
    -0.54
    opal
    -0.54
     Frie
    -0.54
    eve
    -0.53
    sf
    -0.53
     Saur
    -0.52
    POSITIVE LOGITS
     fewer
    0.86
     around
    0.78
     less
    0.74
    between
    0.73
     between
    0.73
     19
    0.71
     8
    0.71
     9
    0.70
     22
    0.70
     approximately
    0.70
    Activations Density 0.055%

    No Known Activations