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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. 13990
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    Explanations

    questions asking for opinions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that pose questions or seek opinions

    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
    acerb
    -0.66
    inently
    -0.66
    gm
    -0.65
    enegger
    -0.63
    gur
    -0.62
    shoot
    -0.61
    ams
    -0.60
    ays
    -0.58
    zik
    -0.58
    wealth
    -0.56
    POSITIVE LOGITS
     happened
    0.86
     constitutes
    0.83
     happens
    0.82
     about
    0.80
     qualifies
    0.76
     inspires
    0.74
     distinguishes
    0.73
    76561
    0.71
     motiv
    0.71
     defines
    0.70
    Activations Density 0.049%

    No Known Activations