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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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    mentions of sports teams, particularly the Lakers and the Knicks

    oai_token-act-pair · gpt-3.5-turbo

    mentions of basketball teams, specifically the Lakers and the Knicks

    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
     Vaughan
    -0.74
    schild
    -0.74
    ternity
    -0.70
     Scotia
    -0.69
     Sinclair
    -0.64
    cutting
    -0.63
     Geo
    -0.62
    nels
    -0.62
    lying
    -0.62
    edged
    -0.61
    POSITIVE LOGITS
     Lakers
    0.93
    orian
    0.84
    warm
    0.76
     Haram
    0.75
    hof
    0.72
    manship
    0.72
     Basketball
    0.72
    nuts
    0.70
    amm
    0.68
     Pistons
    0.65
    Activations Density 0.008%

    No Known Activations