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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. 7-RES-JB
    11. 19449
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    Explanations

    mentions of basketball events and terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the NBA

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akeru
    -0.87
    ledged
    -0.78
    ktop
    -0.77
    ð
    -0.76
    terday
    -0.74
    nir
    -0.73
    sth
    -0.71
    ought
    -0.70
    reads
    -0.68
    enance
    -0.68
    POSITIVE LOGITS
     Finals
    1.09
     Playoffs
    0.90
     basketball
    0.87
     Championship
    0.85
     Championships
    0.84
    etic
    0.84
     Basketball
    0.82
    asketball
    0.81
    NBA
    0.80
     Tournament
    0.76
    Activations Density 0.026%

    No Known Activations