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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. 7-RES-JB
    11. 288
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    Explanations

    monetary values or numerical ranges

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating numerical changes or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wise
    -0.66
    hair
    -0.63
    coe
    -0.61
     Photographer
    -0.59
    Motor
    -0.58
    enko
    -0.56
    iana
    -0.55
    illary
    -0.55
    eni
    -0.53
    Week
    -0.53
    POSITIVE LOGITS
     merely
    0.70
     completely
    0.68
     manageable
    0.68
     nonexistent
    0.66
    DonaldTrump
    0.66
     fewer
    0.66
    pload
    0.66
    natureconservancy
    0.66
     fully
    0.65
     mere
    0.64
    Activations Density 0.117%

    No Known Activations