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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. 4922
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    INDEX
    Explanations

    phrases related to personal qualities and characteristics

    oai_token-act-pair · gpt-3.5-turbo

    statements related to emotional or psychological observations

    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
    swick
    -0.88
    asio
    -0.70
    ESE
    -0.69
    wright
    -0.69
    afety
    -0.69
    hers
    -0.66
    SHIP
    -0.64
    stanbul
    -0.64
    bia
    -0.62
    thora
    -0.62
    POSITIVE LOGITS
     albeit
    0.92
    gradient
    0.85
     etc
    0.76
     encomp
    0.72
     economical
    0.71
     huh
    0.69
    sounding
    0.69
    minded
    0.68
    itar
    0.64
     contro
    0.64
    Activations Density 0.289%

    No Known Activations