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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. 10975
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    Explanations

    words indicating emotional distress or worry

    oai_token-act-pair · gpt-3.5-turbo

    emotions related to distress or concern

    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
    tein
    -0.78
     fide
    -0.60
    orig
    -0.60
    AMA
    -0.59
    hem
    -0.58
    eor
    -0.58
    onut
    -0.58
    ample
    -0.58
    Ranked
    -0.58
    rawl
    -0.58
    POSITIVE LOGITS
     lest
    0.83
     because
    0.83
     hearing
    0.83
     about
    0.82
     enough
    0.81
     uproar
    0.80
     ABOUT
    0.74
     aloud
    0.74
     passionately
    0.74
     seeing
    0.72
    Activations Density 0.137%

    No Known Activations