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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. 6-RES-JB
    11. 16960
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    Explanations

    references to sports, particularly football

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various sports, particularly football and basketball

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izabeth
    -0.72
    lishes
    -0.63
    cule
    -0.61
    antry
    -0.60
    shapeshifter
    -0.60
     Borders
    -0.59
    ordering
    -0.58
     Ples
    -0.57
    Elizabeth
    -0.56
     Hyde
    -0.56
    POSITIVE LOGITS
     hockey
    0.98
     soccer
    0.98
     footballer
    0.96
     stadiums
    0.92
     baseball
    0.91
     football
    0.91
     basketball
    0.91
     rugby
    0.88
     goalkeeper
    0.83
     Football
    0.82
    Activations Density 0.530%

    No Known Activations