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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 27
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    INDEX
    Explanations

    instances where actions or responses are being described

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "react" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Highlands
    -0.70
    ipl
    -0.66
     Prin
    -0.66
     Belt
    -0.66
     Guinness
    -0.61
    Lord
    -0.61
     Membership
    -0.61
    Pacific
    -0.61
    Ã
    -0.60
    Mbps
    -0.60
    POSITIVE LOGITS
     react
    3.82
    react
    2.53
     reacting
    2.38
     reacts
    2.34
     reacted
    2.30
     React
    1.92
     reactions
    1.82
     reaction
    1.76
     respond
    1.62
     reactive
    1.53
    Activations Density 0.011%

    No Known Activations