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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. 20182
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    Explanations

    dollar amounts

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or financial figures

    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
    pocket
    -0.81
    lish
    -0.79
    lay
    -0.79
    wan
    -0.78
    maid
    -0.74
    board
    -0.73
    ply
    -0.73
    archive
    -0.72
    âĹ¼
    -0.70
    lder
    -0.70
    POSITIVE LOGITS
    80
    0.89
    ength
    0.83
    orsi
    0.80
     ILCS
    0.78
    %:
    0.78
    %"
    0.77
    90
    0.76
    70
    0.73
    aire
    0.72
    999
    0.72
    Activations Density 0.035%

    No Known Activations