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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. 1884
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    Explanations

    words related to cooking or culinary activities

    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
    Not in Any Lists

    No Comments

    Negative Logits
     roofs
    -0.79
     salads
    -0.73
     buffers
    -0.70
     clutter
    -0.70
     modesty
    -0.69
     crunch
    -0.67
    oos
    -0.67
     elbows
    -0.67
     coats
    -0.66
     gestures
    -0.66
    POSITIVE LOGITS
    ????
    0.91
    ????????
    0.85
     !!
    0.84
    ?????
    0.83
     BEFORE
    0.81
    REDACTED
    0.80
    !!!!
    0.80
     ONLY
    0.80
    ???
    0.80
    !!!
    0.76
    Activations Density 1.493%

    No Known Activations