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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. 10095
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    Explanations

    phrases related to competitive sports and events

    oai_token-act-pair · gpt-3.5-turbo

    references to significant events or items in competitions, particularly in sports

    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
    Detect
    -0.75
    âĹ¼
    -0.72
    bara
    -0.72
    vern
    -0.72
    psc
    -0.71
    Bloomberg
    -0.71
    SPONSORED
    -0.70
    conom
    -0.70
    raq
    -0.70
    agher
    -0.69
    POSITIVE LOGITS
     finals
    1.27
     tournament
    1.25
     winner
    1.20
     semifinals
    1.20
     vict
    1.18
     championship
    1.13
     loser
    1.12
     challengers
    1.06
     rematch
    1.06
     competition
    1.05
    Activations Density 0.208%

    No Known Activations