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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. 16763
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    Explanations

    mentions of achievements and honors in sports

    oai_token-act-pair · gpt-3.5-turbo

    statistics and achievements in sports, particularly in hockey

    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
     Canaver
    -0.85
    >[
    -0.66
    Brexit
    -0.65
    morrow
    -0.63
    cdn
    -0.63
    here
    -0.62
    doms
    -0.62
     provocation
    -0.61
    fee
    -0.58
    erv
    -0.58
    POSITIVE LOGITS
     honorable
    0.94
     Rookie
    0.86
     honors
    0.84
     postseason
    0.84
     runner
    0.82
     teammate
    0.81
    arsity
    0.81
     MVP
    0.77
     twice
    0.77
     collegiate
    0.76
    Activations Density 0.365%

    No Known Activations