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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. 473
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    Explanations

    phrases indicating a specific group of people

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "for those of" suggesting references to a specific group or audience

    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
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    Negative Logits
     centrif
    -0.68
    ertodd
    -0.66
    Ô
    -0.65
     evaluations
    -0.59
     vortex
    -0.57
     redesign
    -0.56
     stim
    -0.55
     VK
    -0.55
     cx
    -0.55
     giveaway
    -0.54
    POSITIVE LOGITS
    course
    0.88
     us
    0.83
     whom
    0.79
    Ĥ¬
    0.73
    icial
    0.73
    hi
    0.71
     course
    0.69
    ramer
    0.68
     Tradable
    0.66
    pires
    0.65
    Activations Density 0.057%

    No Known Activations