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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. 6-RES-JB
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    Explanations

    mentions of a sports team or entity called "Blues."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific sports team called the Blues

    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
    ILY
    -0.81
    ortion
    -0.75
    awei
    -0.73
    assment
    -0.71
    igators
    -0.70
    lying
    -0.70
    antly
    -0.65
    rises
    -0.64
    iannopoulos
    -0.64
     Gingrich
    -0.62
    POSITIVE LOGITS
    hift
    1.39
    hirt
    1.06
    creen
    0.90
     Blues
    0.82
    berries
    0.80
    pace
    0.75
    ignt
    0.74
     blues
    0.74
    ucer
    0.73
    hole
    0.72
    Activations Density 0.018%

    No Known Activations