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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. 14282
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    INDEX
    Explanations

    phrases related to making choices or selections

    oai_token-act-pair · gpt-3.5-turbo

    references to choice and selection in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    ĸļ
    -0.99
    naissance
    -0.90
    cular
    -0.84
    cule
    -0.83
    issance
    -0.79
    visible
    -0.79
    ei
    -0.73
    mediated
    -0.73
    behind
    -0.72
    oop
    -0.72
    POSITIVE LOGITS
     wisely
    1.00
     randomly
    0.93
     preset
    0.88
     appropriate
    0.84
     winners
    0.84
     winner
    0.83
     random
    0.82
     preferred
    0.76
     finalists
    0.73
     suitable
    0.73
    Activations Density 0.174%

    No Known Activations