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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. 53
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    Explanations

    measurements and dimensions

    oai_token-act-pair · gpt-3.5-turbo

    measurements and dimensions of objects

    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
    efe
    -0.73
    ollah
    -0.69
    elsen
    -0.65
    lication
    -0.64
    advertising
    -0.63
    orders
    -0.62
    liction
    -0.62
    rities
    -0.62
    iologist
    -0.62
     Suicide
    -0.61
    POSITIVE LOGITS
     diameter
    1.21
     length
    1.00
     size
    0.96
     tall
    0.96
     width
    0.96
     thick
    0.93
     thickness
    0.93
     radius
    0.92
     circumference
    0.90
     lengths
    0.88
    Activations Density 0.215%

    No Known Activations