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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. 1-RES-JB
    11. 8576
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    Explanations

    numbers indicating a quantity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of numbers, particularly those related to ages or quantities

    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
    lez
    -0.79
    aque
    -0.77
    rm
    -0.76
    BD
    -0.75
    TM
    -0.75
    PE
    -0.74
    HY
    -0.74
    HC
    -0.73
    berman
    -0.73
    ller
    -0.73
    POSITIVE LOGITS
    teenth
    1.14
     hundred
    1.12
     thousand
    1.10
     eighteen
    1.07
    teen
    1.07
    eteen
    1.07
     seventeen
    1.02
     eleven
    1.01
     fourteen
    0.98
    eenth
    0.97
    Activations Density 0.008%

    No Known Activations