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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. 8-RES-JB
    11. 17855
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    Explanations

    specific numerical patterns

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and references to dates or sequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeus
    -0.87
    achus
    -0.80
    rous
    -0.79
    eton
    -0.76
    aye
    -0.74
    eners
    -0.74
    achu
    -0.72
    orthy
    -0.68
    igham
    -0.67
    atoon
    -0.67
    POSITIVE LOGITS
    20439
    1.05
    teen
    0.83
    th
    0.78
    teenth
    0.76
    worthiness
    0.72
    ïve
    0.70
    384
    0.70
    MHz
    0.69
    lig
    0.69
    chester
    0.68
    Activations Density 0.111%

    No Known Activations