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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. 9-RES-JB
    11. 14069
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    Explanations

    words related to sports and physical activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to competition and excitement in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     narrower
    -0.76
     antip
    -0.75
     sleepy
    -0.70
     unspecified
    -0.70
     overlap
    -0.67
     nuisance
    -0.65
     nons
    -0.65
    —"
    -0.64
     emergencies
    -0.63
     prompts
    -0.62
    POSITIVE LOGITS
     Fans
    0.90
    Fans
    0.89
    代
    0.89
     MLG
    0.84
    éĸ
    0.81
     Tuls
    0.79
     rightfully
    0.77
     Wrestle
    0.76
    Simply
    0.76
    ampion
    0.75
    Activations Density 1.411%

    No Known Activations