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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. 16478
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    Explanations

    statements discussing specific memorable or significant events

    oai_token-act-pair · gpt-3.5-turbo

    important nouns and concepts related to various fields such as sports, software, and healthcare

    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
    é¾įå
    -0.60
    cgi
    -0.59
    brew
    -0.57
    yss
    -0.57
    EngineDebug
    -0.56
    maximum
    -0.55
     Mayo
    -0.55
    grim
    -0.54
    aspx
    -0.53
    ESCO
    -0.53
    POSITIVE LOGITS
     imaginable
    0.91
    riages
    0.65
     besides
    0.59
     attendant
    0.59
    arios
    0.57
    hops
    0.56
     conceivable
    0.55
     reperto
    0.55
     endors
    0.55
     recognised
    0.54
    Activations Density 0.714%

    No Known Activations