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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. 6402
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    Explanations

    text related to sports, team dynamics, contracts, and player comments

    oai_token-act-pair · gpt-3.5-turbo

    statements related to contracts and team dynamics

    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
    GOP
    -0.83
    pmwiki
    -0.81
     Neighbor
    -0.80
    NetMessage
    -0.78
    igslist
    -0.77
     Yelp
    -0.75
    umblr
    -0.74
     swath
    -0.74
     Hawai
    -0.73
     feds
    -0.72
    POSITIVE LOGITS
     Mourinho
    1.32
     analyse
    1.24
     Messi
    1.23
     Tottenham
    1.20
     Fifa
    1.18
     Ronaldo
    1.17
     Liverpool
    1.17
     Juventus
    1.15
     Guardiola
    1.14
     Manchester
    1.13
    Activations Density 0.500%

    No Known Activations