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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. 10052
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    INDEX
    Explanations

    references to people and their actions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    instances of generalizations about people's opinions and behaviors

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.79
    -+
    -0.77
    =~
    -0.74
    ————————
    -0.69
    baugh
    -0.69
     Anyone
    -0.68
    --------------------------------------------------------
    -0.68
    ãĤ´
    -0.68
    @@@@
    -0.68
    rawdownloadcloneembedreportprint
    -0.66
    POSITIVE LOGITS
     downright
    0.84
     even
    0.77
     prefer
    0.75
     outright
    0.74
     mistakenly
    0.73
    hops
    0.71
     incorrectly
    0.70
     worse
    0.68
     creep
    0.67
     errone
    0.67
    Activations Density 0.295%

    No Known Activations