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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. 14569
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    Explanations

    phrases involving going out of one's way to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate making an effort or going beyond the usual limits

    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
    ulous
    -0.68
    hiba
    -0.68
    kefeller
    -0.67
     Dys
    -0.66
    cius
    -0.65
    ajor
    -0.64
    cious
    -0.62
    avery
    -0.61
    aeus
    -0.60
    gemony
    -0.59
    POSITIVE LOGITS
    fitted
    0.98
    ranged
    0.92
    door
    0.84
    doors
    0.82
    stretched
    0.82
    wards
    0.73
    fitting
    0.72
    casts
    0.71
    smart
    0.70
     shopping
    0.68
    Activations Density 0.054%

    No Known Activations