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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. 11-RES-JB
    6. 6790
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    Explanations

    verbs related to various activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of personal actions or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    quartered
    -0.72
    SPONSORED
    -0.70
    astical
    -0.68
    aptic
    -0.64
    soever
    -0.64
    ield
    -0.63
    wayne
    -0.60
    Alternatively
    -0.60
    generated
    -0.60
     forthcoming
    -0.60
    POSITIVE LOGITS
     alot
    1.11
     plenty
    0.96
     lots
    0.88
     yesterday
    0.88
     tons
    0.84
     mine
    0.79
     awhile
    0.77
     enough
    0.77
     quite
    0.75
     countless
    0.74
    Activations Density 0.433%

    No Known Activations