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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. 4461
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    Explanations

    phrases related to negative aspects and criticisms in the context of a specific topic (e.g., sports industry)

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

    phrases that highlight the struggles and failures of professional sports leagues, particularly focusing on the NBA and NHL

    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
    Not in Any Lists

    No Comments

    Negative Logits
    SPONSORED
    -1.17
    EVA
    -0.85
    mare
    -0.85
    conom
    -0.85
    washer
    -0.81
    ophon
    -0.78
    heit
    -0.78
    fu
    -0.75
    river
    -0.73
    bourg
    -0.73
    POSITIVE LOGITS
     league
    1.33
     sport
    1.14
     playoffs
    1.13
     NBA
    1.10
     lockout
    1.08
     postseason
    1.06
     NHL
    1.06
     standings
    1.05
     NFL
    1.03
     Celtics
    1.02
    Activations Density 0.268%

    No Known Activations