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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. 385
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    Explanations

    references to sports matches and competition stages

    oai_token-act-pair · gpt-3.5-turbo

    terms related to sports tournament stages, specifically quarterfinals and semifinals

    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
     Anon
    -0.65
     Kin
    -0.64
     Wein
    -0.61
     Vapor
    -0.61
     typew
    -0.61
     Tumblr
    -0.61
     Ther
    -0.60
     Bane
    -0.60
    icz
    -0.60
     Commando
    -0.58
    POSITIVE LOGITS
    finals
    1.79
    final
    1.48
     finals
    1.40
     playoffs
    1.17
     Finals
    1.11
     semifinals
    1.10
    Final
    1.02
    ournament
    0.96
     qualifier
    0.96
    season
    0.94
    Activations Density 0.079%

    No Known Activations