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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. 6-RES-JB
    6. 1155
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    Explanations

    phrases where someone is explaining something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "to" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Donation
    -0.70
     botched
    -0.62
     Accessed
    -0.62
     showers
    -0.60
     wastes
    -0.58
     Opportun
    -0.57
     allotted
    -0.57
     Volunte
    -0.56
    .–
    -0.56
     improvised
    -0.56
    POSITIVE LOGITS
    ilet
    1.02
    othy
    0.95
    ggles
    0.92
    wered
    0.90
    pless
    0.86
     me
    0.83
     satisfy
    0.82
     us
    0.81
     appease
    0.81
     justify
    0.79
    Activations Density 0.199%

    No Known Activations