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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. 3076
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    Explanations

    references to specific actions related to running backs in American football

    oai_token-act-pair · gpt-3.5-turbo

    terms related to running backs in football

    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
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    No Comments

    Negative Logits
    olia
    -0.82
    76561
    -0.80
    alam
    -0.78
    ango
    -0.76
    opol
    -0.72
    naires
    -0.69
     plur
    -0.67
    ibel
    -0.66
    icultural
    -0.66
    ushima
    -0.66
    POSITIVE LOGITS
    ways
    0.84
     mate
    0.82
    aways
    0.76
     downhill
    0.74
     coach
    0.73
     mates
    0.71
    back
    0.71
     shoes
    0.70
     backs
    0.70
    wear
    0.70
    Activations Density 0.046%

    No Known Activations