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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. 9-RES-JB
    11. 17117
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    INDEX
    Explanations

    verbs or phrases related to competition or confrontation

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to polling and electoral results

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ä¸ī
    -0.69
    MQ
    -0.62
     QC
    -0.62
    icity
    -0.61
    nesday
    -0.60
     Ort
    -0.60
    tsky
    -0.59
    occ
    -0.57
     recip
    -0.57
    ilege
    -0.57
    POSITIVE LOGITS
     heels
    0.79
    ratulations
    0.75
    quarters
    0.75
     shoulders
    0.70
    quartered
    0.68
     tails
    0.67
    gow
    0.64
    pex
    0.64
     bowed
    0.61
    pins
    0.61
    Activations Density 0.065%

    No Known Activations