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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. 493
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    INDEX
    Explanations

    phrases related to physical actions or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    pronouns related to people

    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
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    Negative Logits
     Gerard
    -0.69
     Mit
    -0.67
     Majority
    -0.66
     Emer
    -0.65
     Cliff
    -0.64
     Pompe
    -0.64
     Beacon
    -0.64
     Junk
    -0.64
     Anat
    -0.63
     Petraeus
    -0.63
    POSITIVE LOGITS
    arers
    0.98
    pton
    0.91
    ÃĥÃĤ
    0.91
    ared
    0.90
    've
    0.90
    arer
    0.89
    til
    0.88
    'll
    0.86
    hots
    0.85
    ldon
    0.84
    Activations Density 0.305%

    No Known Activations