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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. 5475
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    Explanations

    statistics related to sports scores and performances

    oai_token-act-pair · gpt-3.5-turbo

    numerical 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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    Negative Logits
     Mankind
    -0.60
    ulence
    -0.60
     attendant
    -0.59
     Garg
    -0.58
     Blink
    -0.58
     Eternity
    -0.54
    aminer
    -0.51
     Finch
    -0.51
     insecurity
    -0.51
     Azerbai
    -0.50
    POSITIVE LOGITS
    for
    0.82
    -
    0.79
    ½
    0.78
    rd
    0.75
    –
    0.72
    thin
    0.71
    âĢij
    0.71
     consecutive
    0.66
    mins
    0.66
    /.
    0.66
    Activations Density 0.049%

    No Known Activations