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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    mentions of hockey leagues such as AHL and USL

    oai_token-act-pair · gpt-3.5-turbo

    mentions of hockey leagues, specifically the AHL and USL

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    egg
    -0.70
    ported
    -0.67
    eton
    -0.67
     Paleo
    -0.67
    law
    -0.67
    fit
    -0.66
    mitt
    -0.65
    sequence
    -0.64
    berman
    -0.64
    metic
    -0.63
    POSITIVE LOGITS
     AHL
    0.91
    ESH
    0.87
    INESS
    0.75
    uate
    0.74
    hess
    0.73
     USL
    0.72
    OULD
    0.72
    HAHAHAHA
    0.71
    ilitating
    0.69
    reated
    0.68
    Activations Density 0.006%

    No Known Activations