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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. 9-RES-JB
    11. 7011
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ividual
    -0.73
     Riot
    -0.69
     Trilogy
    -0.69
    unky
    -0.67
     Beir
    -0.67
    ensical
    -0.66
    itia
    -0.65
    oran
    -0.62
    lain
    -0.61
     Scotia
    -0.60
    POSITIVE LOGITS
    {\
    0.98
    sin
    0.90
    href
    0.86
    ¯
    0.84
    graph
    0.84
    ł
    0.83
    temp
    0.82
    seq
    0.81
    eq
    0.81
    Ī
    0.81
    Activations Density 0.026%

    No Known Activations