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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. 9586
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    Explanations

    phrases related to the release or emergence of something or an event happening

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the release or emergence of something

    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
    anooga
    -0.91
    staking
    -0.70
    cius
    -0.66
    apo
    -0.64
    cious
    -0.64
    chio
    -0.63
    cess
    -0.63
    bably
    -0.62
    nesota
    -0.62
    sav
    -0.62
    POSITIVE LOGITS
    fitted
    0.82
    wards
    0.80
    )=(
    0.80
    doors
    0.78
    stretched
    0.76
    lier
    0.75
    skirts
    0.70
     swinging
    0.70
    casts
    0.69
    mbuds
    0.66
    Activations Density 0.028%

    No Known Activations