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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 14788
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    terms related to a basketball court

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a basketball court

    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
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    Negative Logits
    Labor
    -0.68
     VAT
    -0.66
     ana
    -0.66
     Saban
    -0.65
    ÃŁ
    -0.63
     Bord
    -0.62
     Petro
    -0.62
     Leone
    -0.61
     UID
    -0.60
     Catalan
    -0.60
    POSITIVE LOGITS
    esan
    1.08
    stall
    0.90
    auld
    0.87
    frames
    0.83
    headers
    0.82
    breakers
    0.81
    ette
    0.79
    ettes
    0.79
    yard
    0.79
    OGR
    0.75
    Activations Density 0.031%

    No Known Activations