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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. 3-RES-JB
    11. 12084
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    Explanations

    the word "forthcoming"

    oai_token-act-pair · gpt-3.5-turbo

    references to upcoming events or releases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bia
    -0.82
    ifling
    -0.75
    claimer
    -0.75
    aples
    -0.74
    ocker
    -0.74
    midt
    -0.73
    flo
    -0.72
    inker
    -0.72
    ithing
    -0.72
    cius
    -0.72
    POSITIVE LOGITS
     forthcoming
    0.89
     deliveries
    0.77
    20439
    0.76
     RELE
    0.73
     Parenthood
    0.71
     disclosures
    0.71
     antioxid
    0.71
    forth
    0.70
     additions
    0.67
     developments
    0.67
    Activations Density 0.004%

    No Known Activations