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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. 16259
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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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    Negative Logits
    76561
    -0.77
    yson
    -0.72
    urn
    -0.72
    ous
    -0.71
    illard
    -0.71
    lain
    -0.69
    ously
    -0.68
    lier
    -0.68
    vill
    -0.67
    ewitness
    -0.66
    POSITIVE LOGITS
    mers
    1.20
     languages
    1.18
     Languages
    1.15
    matically
    1.13
    mable
    1.11
    matic
    0.93
     interfaces
    0.92
    matical
    0.92
     language
    0.90
    atically
    0.89
    Activations Density 0.041%

    No Known Activations