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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. 1413
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    Explanations

    proper names of individuals, potentially related to news or media coverage

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, specifically names of individuals

    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
    osuke
    -0.72
    essee
    -0.70
    ombo
    -0.65
    ative
    -0.63
     avail
    -0.63
     Granted
    -0.63
     Portug
    -0.62
    nesia
    -0.62
     UX
    -0.61
    ittee
    -0.61
    POSITIVE LOGITS
    mint
    0.86
     Dahl
    0.85
    fur
    0.85
     Ambro
    0.79
    weights
    0.76
    lund
    0.75
    bourg
    0.73
    lings
    0.71
    child
    0.71
    beck
    0.71
    Activations Density 0.020%

    No Known Activations