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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. 3449
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    Explanations

    dates or time-related information

    oai_token-act-pair · gpt-3.5-turbo

    instances of time-related phrases and contextual references

    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
    GF
    -0.70
    aut
    -0.68
    Ķ
    -0.66
    ACH
    -0.65
    pac
    -0.64
    Detailed
    -0.64
    afer
    -0.62
    enz
    -0.61
    BD
    -0.60
    bishop
    -0.60
    POSITIVE LOGITS
     it
    0.70
     citing
    0.68
     he
    0.66
    untled
    0.66
     they
    0.65
     however
    0.65
    enment
    0.63
     chances
    0.63
     planners
    0.62
    guards
    0.62
    Activations Density 0.193%

    No Known Activations