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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. 9-RES-JB
    6. 9263
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    Explanations

    phrases indicating a desire or action to revisit or return to a previous state or location

    oai_token-act-pair · gpt-3.5-turbo

    mentions of returning to previous points or origins

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orst
    -0.60
    rowd
    -0.57
     Consent
    -0.56
     Syndicate
    -0.56
    weather
    -0.55
    stood
    -0.55
     Us
    -0.53
     Sutherland
    -0.53
     headlines
    -0.53
     privilege
    -0.52
    POSITIVE LOGITS
    packing
    1.13
    stab
    1.05
    packs
    0.98
    gam
    0.98
    tracking
    0.98
    track
    0.92
    doors
    0.92
    wards
    0.87
    )=(
    0.85
    trace
    0.85
    Activations Density 0.037%

    No Known Activations