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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. 10155
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    Explanations

    sports-related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to significant physical or metaphorical changes or transformations

    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
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    Negative Logits
    BuyableInstoreAndOnline
    -0.70
     Goodbye
    -0.63
     Delay
    -0.62
     Removed
    -0.60
     Berger
    -0.58
     Dav
    -0.58
     Coch
    -0.57
     Sharon
    -0.57
     He
    -0.56
    :]
    -0.56
    POSITIVE LOGITS
    âĢ
    1.35
     âĢ
    1.01
    Ãĥ
    0.97
    âĢł
    0.96
    ÃĤ
    0.95
    âķIJâķIJ
    0.92
    ÃĥÃĤ
    0.92
    ãĢ
    0.88
    ß
    0.88
    ————————————————
    0.88
    Activations Density 1.130%

    No Known Activations