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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. 11607
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    INDEX
    Explanations

    phrases related to serving or being in a position of service

    oai_token-act-pair · gpt-3.5-turbo

    references to military service and incarceration

    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
     tackling
    -0.73
    isms
    -0.64
     Collider
    -0.63
    Winged
    -0.62
    TPPStreamerBot
    -0.62
     stumbling
    -0.61
    Jump
    -0.60
    Bridge
    -0.60
    tracking
    -0.60
    Weapon
    -0.59
    POSITIVE LOGITS
     purpose
    0.84
     faithfully
    0.80
     purposes
    0.78
     subpoena
    0.75
     constituents
    0.74
     summons
    0.72
    olit
    0.72
    elli
    0.71
     subpoen
    0.70
     needs
    0.68
    Activations Density 0.120%

    No Known Activations