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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. 3-RES-JB
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    Explanations

    mentions of the name "Thornton"

    oai_token-act-pair · gpt-3.5-turbo

    names of athletes, particularly focusing on players named Thornton and related figures in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hi
    -0.89
    omorphic
    -0.88
    DonaldTrump
    -0.85
    eny
    -0.82
    emonic
    -0.81
    ãĥ¤
    -0.77
    este
    -0.75
    choice
    -0.73
    ulate
    -0.72
    yg
    -0.71
    POSITIVE LOGITS
     Thornton
    1.10
    nton
    1.06
     Sharks
    0.84
     Sloan
    0.75
     Smy
    0.74
     Âł Âł Âł Âł
    0.73
     Farrell
    0.72
     Townsend
    0.70
     Compton
    0.68
    orpor
    0.68
    Activations Density 0.010%

    No Known Activations