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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. 6-RES-JB
    11. 2946
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    Explanations

    phrases related to sports events and competition

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with competition and rivalry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ItemImage
    -0.73
    ento
    -0.72
    eway
    -0.72
    detail
    -0.72
    "]=>
    -0.71
    aund
    -0.70
    isson
    -0.70
    ascript
    -0.70
    raid
    -0.69
    sole
    -0.68
    POSITIVE LOGITS
     Titus
    0.77
     Fas
    0.74
     Tom
    0.74
     Stephen
    0.73
     Saban
    0.71
     Rupert
    0.71
     Spart
    0.70
     Judah
    0.70
     Martha
    0.69
     Wil
    0.69
    Activations Density 0.297%

    No Known Activations