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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. 4-RES-JB
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    Explanations

    mentions of the sports team "Steelers"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Pittsburgh Steelers football team

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

    No Comments

    Negative Logits
     NCT
    -0.81
    sembly
    -0.79
    eworks
    -0.78
    mercial
    -0.76
    uated
    -0.76
    govtrack
    -0.75
    aho
    -0.74
    enza
    -0.74
    gement
    -0.73
    glers
    -0.73
    POSITIVE LOGITS
     Steelers
    1.02
    âĺħ
    0.89
    Steel
    0.86
     Crate
    0.81
    ards
    0.81
    rod
    0.74
     Penguins
    0.73
    atoes
    0.68
     Steel
    0.66
    士
    0.65
    Activations Density 0.015%

    No Known Activations