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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. 1-RES-JB
    6. 4138
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    Explanations

    mentions of specific names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aman
    -0.76
    berman
    -0.76
    romy
    -0.73
    alus
    -0.72
    ron
    -0.70
    some
    -0.69
    avi
    -0.68
    live
    -0.66
    imum
    -0.66
    ophon
    -0.65
    POSITIVE LOGITS
     Scion
    0.69
     Tuc
    0.68
     Inquisition
    0.68
     hemisphere
    0.65
    orsche
    0.65
    pires
    0.64
    uries
    0.63
     Duc
    0.62
     bleeding
    0.62
     Kits
    0.62
    Activations Density 0.000%

    No Known Activations