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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. 12-RES-JB
    11. 4154
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    Explanations

    names of soccer players or teams

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    names of sports teams and associated players

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     charact
    -0.61
    essage
    -0.54
    oaded
    -0.53
     encour
    -0.51
     weap
    -0.51
     toget
    -0.50
     bonded
    -0.50
     describ
    -0.48
     pleas
    -0.48
     ridic
    -0.48
    POSITIVE LOGITS
     TBA
    0.77
     FC
    0.72
     TBD
    0.71
     Olymp
    0.70
     Univ
    0.68
     Macedonia
    0.64
     LCS
    0.63
    )/
    0.61
     USA
    0.60
    /
    0.60
    Activations Density 0.199%

    No Known Activations