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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. 7655
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    Explanations

    references to various football clubs or soccer teams

    oai_token-act-pair · gpt-3.5-turbo

    instances of football club names

    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
     snail
    -0.65
    Synopsis
    -0.64
     pand
    -0.63
    pse
    -0.62
     Whitman
    -0.61
    iframe
    -0.61
    Bird
    -0.60
     Summers
    -0.60
     Martha
    -0.59
    Newsletter
    -0.59
    POSITIVE LOGITS
     FC
    4.15
    FC
    2.09
     AFC
    1.47
    fc
    1.35
     FW
    1.30
    caps
    1.29
     HC
    1.29
     MLS
    1.29
     CF
    1.28
     Soccer
    1.25
    Activations Density 0.022%

    No Known Activations