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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. 7-RES-JB
    11. 13832
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    Explanations

    mentions of the term "Cook" in various contexts, potentially related to legal or medical matters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "Cook" related to location or entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ngth
    -0.91
    ovych
    -0.70
    ilitary
    -0.70
     tremend
    -0.66
    isSpecialOrderable
    -0.66
    rity
    -0.65
    ulous
    -0.65
    oppable
    -0.65
     Crusader
    -0.65
    ulously
    -0.63
    POSITIVE LOGITS
    book
    1.08
    books
    1.01
    Cook
    0.97
    ies
    0.90
     Cook
    0.84
    batch
    0.83
    stall
    0.83
    mans
    0.80
    bread
    0.78
    sey
    0.77
    Activations Density 0.021%

    No Known Activations