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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. 18143
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    INDEX
    Explanations

    mentions of formidable or significant entities, often with a negative connotation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mythical or monstrous entities

    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
    cius
    -0.74
    angan
    -0.70
    onica
    -0.70
    arters
    -0.69
     eligibility
    -0.66
    activated
    -0.65
    lace
    -0.63
    Closure
    -0.63
    uren
    -0.62
    gemony
    -0.62
    POSITIVE LOGITS
     beasts
    0.98
     beast
    0.97
    osaurs
    0.87
    gery
    0.82
    stros
    0.78
    ngth
    0.78
     bru
    0.74
     Beasts
    0.74
     sized
    0.73
    warts
    0.72
    Activations Density 0.104%

    No Known Activations