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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. 0-RES-JB
    11. 19240
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    Explanations

    terminology related to professional wrestling

    oai_token-act-pair · gpt-3.5-turbo

    terms related to professional wrestling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Sim
    -0.75
     Jas
    -0.75
     Enable
    -0.69
    rate
    -0.67
    Aff
    -0.66
    Pal
    -0.66
     Alt
    -0.63
    luence
    -0.63
     ®
    -0.63
     Automatic
    -0.63
    POSITIVE LOGITS
     wrestling
    3.79
     Wrestling
    2.98
     wrestler
    2.69
     wrestlers
    2.59
     wrestle
    2.55
    restling
    2.51
     Wrest
    2.24
     grappling
    2.11
     boxing
    1.92
     Wrestle
    1.77
    Activations Density 0.012%

    No Known Activations