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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. 20113
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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
    akedown
    -0.69
    riage
    -0.64
    zar
    -0.63
     bail
    -0.60
     bailed
    -0.60
    cussion
    -0.60
    initialized
    -0.59
    onut
    -0.58
     pesky
    -0.56
    angler
    -0.56
    POSITIVE LOGITS
     enough
    1.08
    enough
    0.99
     outweigh
    0.78
    terday
    0.76
     outwe
    0.75
     anymore
    0.74
     Enough
    0.74
    externalActionCode
    0.74
    izable
    0.72
     Pwr
    0.69
    Activations Density 0.297%

    No Known Activations