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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. 14970
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    Explanations

    references to sports quarterfinal matches

    oai_token-act-pair · gpt-3.5-turbo

    references to sports tournaments or playoff rounds

    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
    å¦
    -0.70
    >>>>
    -0.65
     ABE
    -0.64
     selective
    -0.60
    userc
    -0.59
     Strongh
    -0.58
     appropri
    -0.58
     Dangerous
    -0.57
     Ack
    -0.56
     Moder
    -0.56
    POSITIVE LOGITS
    finals
    1.66
    final
    1.56
    master
    1.16
    century
    1.10
    staff
    1.07
    back
    1.07
    deck
    1.06
    masters
    1.05
     century
    1.05
    pipe
    0.96
    Activations Density 0.028%

    No Known Activations