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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. 4-RES-JB
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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 @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     arsen
    -0.63
     Aires
    -0.60
     gearing
    -0.59
    ecause
    -0.59
    AMS
    -0.59
     exhilar
    -0.59
    AAF
    -0.58
     phenomen
    -0.57
    accompan
    -0.57
    leans
    -0.57
    POSITIVE LOGITS
    tenance
    1.17
    _
    0.98
    andise
    0.82
    ify
    0.79
    patch
    0.78
    alg
    0.78
    data
    0.75
    llor
    0.75
    terday
    0.75
    ãĥĥ
    0.75
    Activations Density 0.179%

    No Known Activations