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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. 8-RES-JB
    11. 20032
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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 @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ãĥĩ
    -0.75
    rolled
    -0.74
    estern
    -0.72
    ãĤ§
    -0.71
    alde
    -0.69
    Menu
    -0.67
    rys
    -0.64
    til
    -0.63
    kel
    -0.62
    JP
    -0.62
    POSITIVE LOGITS
     convincing
    0.87
     willing
    0.75
     overcoming
    0.74
     convince
    0.74
     adequate
    0.73
     adequately
    0.73
     transcend
    0.72
     compromises
    0.71
     reciproc
    0.71
    iqueness
    0.70
    Activations Density 0.435%

    No Known Activations