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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. 4-RES-JB
    11. 1098
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    Explanations

    financially-related terms, especially those related to deceitful practices

    oai_token-act-pair · gpt-3.5-turbo

    words associated with physical sensations and experiences

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

    No Comments

    Negative Logits
     plurality
    -0.69
     Lif
    -0.66
    OTOS
    -0.65
     Centers
    -0.63
     Tsukuyomi
    -0.62
     Partnership
    -0.62
     Vital
    -0.62
    Ī
    -0.61
     Fib
    -0.61
    ccording
    -0.61
    POSITIVE LOGITS
    gery
    0.76
    maid
    0.74
    punk
    0.73
     spew
    0.72
     fashioned
    0.71
    heet
    0.71
    ishly
    0.71
    guards
    0.70
    creen
    0.70
    Redditor
    0.70
    Activations Density 0.117%

    No Known Activations