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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. 4711
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    INDEX
    Explanations

    mentions of the concept of "fate."

    oai_token-act-pair · gpt-3.5-turbo

    references to fate

    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
    orney
    -0.83
    atchewan
    -0.76
    afort
    -0.70
    orneys
    -0.70
    artney
    -0.69
    quart
    -0.69
    ONSORED
    -0.67
    Ops
    -0.67
    shapeshifter
    -0.67
    ighters
    -0.66
    POSITIVE LOGITS
     fate
    1.06
    bringer
    0.84
    istically
    0.83
    lessly
    0.82
    lect
    0.82
    uel
    0.76
    stre
    0.73
    ality
    0.72
    claw
    0.72
     incarn
    0.72
    Activations Density 0.019%

    No Known Activations