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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. 11865
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    INDEX
    Explanations

    mentions of a specific name "Ca" along with related terms and contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to calcium and related compounds

    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
    bucks
    -0.92
    HCR
    -0.92
    schild
    -0.88
    geist
    -0.85
    skirts
    -0.77
    */(
    -0.73
     actionGroup
    -0.73
    OWER
    -0.70
    eering
    -0.69
    RANT
    -0.68
    POSITIVE LOGITS
     Ca
    1.00
    Ca
    0.97
    esar
    0.95
    Ba
    0.88
    ution
    0.86
     sulf
    0.84
    plin
    0.80
    aba
    0.80
    usa
    0.79
    esville
    0.76
    Activations Density 0.007%

    No Known Activations