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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. 10-RES-JB
    11. 18547
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    Explanations

    dates and events in chronological order

    oai_token-act-pair · gpt-3.5-turbo

    temporal references and significant events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    pac
    -0.70
    Ķ
    -0.69
    enz
    -0.63
    oya
    -0.62
    BD
    -0.61
    Detailed
    -0.60
    ono
    -0.60
    atan
    -0.59
    ²¾
    -0.59
    Optional
    -0.59
    POSITIVE LOGITS
     it
    0.99
     they
    0.88
     he
    0.86
     there
    0.86
     nobody
    0.82
     pundits
    0.77
     she
    0.76
     however
    0.74
     we
    0.72
     detractors
    0.71
    Activations Density 0.220%

    No Known Activations