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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. 1632
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    Explanations

    sports and athletic events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to competitive sports and athletic achievements

    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
    âĹ¼
    -0.79
     Manafort
    -0.71
     Activate
    -0.68
     EFF
    -0.66
     voic
    -0.66
     apost
    -0.64
    taboola
    -0.64
     Grimoire
    -0.64
    Reply
    -0.63
     NYT
    -0.63
    POSITIVE LOGITS
    athlon
    1.35
     competitions
    1.29
     Championships
    1.23
     athletics
    1.19
     championships
    1.17
    estyle
    1.17
     skiing
    1.16
     races
    1.15
     workouts
    1.12
     tennis
    1.10
    Activations Density 0.289%

    No Known Activations