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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. 2-RES-JB
    11. 18901
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    Explanations

    large numerical values, likely related to measurements or quantities

    oai_token-act-pair · gpt-3.5-turbo

    specific numerical values or identifiers, particularly those related to statistics or data points

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cycl
    -0.71
    drawn
    -0.70
    board
    -0.69
    wart
    -0.69
    agan
    -0.69
    psons
    -0.68
    estone
    -0.67
    lined
    -0.66
    elong
    -0.65
    osc
    -0.64
    POSITIVE LOGITS
    454
    0.99
    288
    0.98
    012
    0.98
    354
    0.98
    651
    0.98
    758
    0.97
    806
    0.95
    756
    0.95
    453
    0.95
    602
    0.94
    Activations Density 0.069%

    No Known Activations