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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. 7-RES-JB
    11. 9461
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    Explanations

    dates in the format of month, day, and year

    oai_token-act-pair · gpt-3.5-turbo

    patterns related to age and measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ©¶æ
    -0.73
    ciating
    -0.73
    eless
    -0.72
    oshenko
    -0.72
    otto
    -0.70
    boa
    -0.70
    ãĤ©
    -0.69
    sylv
    -0.68
    ritch
    -0.67
    onym
    -0.67
    POSITIVE LOGITS
    enegger
    0.80
    bush
    0.74
    PsyNetMessage
    0.72
    ktop
    0.69
     Wonderland
    0.68
    ailability
    0.66
    ruary
    0.65
     cents
    0.63
     Views
    0.63
    displayText
    0.62
    Activations Density 0.181%

    No Known Activations