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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 15561
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    Explanations

    numbers written in word format

    oai_token-act-pair · gpt-3.5-turbo

    references to specific numerical values, particularly related to age or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ller
    -0.72
    KI
    -0.70
    BOOK
    -0.70
    Bank
    -0.68
    Climate
    -0.68
    Helper
    -0.67
    Guard
    -0.67
    HAM
    -0.66
    aque
    -0.64
    Math
    -0.63
    POSITIVE LOGITS
     thousand
    1.20
    eenth
    1.16
     hundred
    1.06
     thous
    0.94
    teenth
    0.92
    ieth
    0.89
     eighty
    0.88
    fold
    0.88
    uously
    0.87
    uous
    0.85
    Activations Density 0.017%

    No Known Activations