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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. 5-RES-JB
    6. 24099
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    INDEX
    Explanations

    verbs related to likelihood or probability

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating probability or likelihood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Cooldown
    -0.74
    yrights
    -0.73
    ellation
    -0.72
    quickShipAvailable
    -0.71
    RAW
    -0.71
     Provided
    -0.71
    eport
    -0.70
    hai
    -0.69
    aepernick
    -0.68
    APTER
    -0.68
    POSITIVE LOGITS
     absorb
    1.04
     engage
    1.02
     spend
    0.99
     confront
    0.99
     be
    0.98
     participate
    0.97
     reject
    0.94
     enter
    0.94
     earn
    0.93
     interact
    0.92
    Activations Density 0.104%

    No Known Activations