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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. 20610
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    Explanations

    highly respected or distinguished individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent or notable individuals

    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
     Orbit
    -0.81
     COVER
    -0.76
     Tinder
    -0.74
     Veil
    -0.73
    Pand
    -0.71
     Alley
    -0.68
     Whip
    -0.67
    proof
    -0.67
     Masquerade
    -0.66
     Candy
    -0.65
    POSITIVE LOGITS
    hovah
    1.02
    terday
    0.93
    esian
    0.91
    urious
    0.90
    ugi
    0.86
    peria
    0.85
    udos
    0.82
    vez
    0.79
    aucas
    0.78
    ounter
    0.78
    Activations Density 0.010%

    No Known Activations