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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. 17880
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    Explanations

    specific numeric quantities or percentages mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate visual observations or assessments

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Erica
    -0.65
    Orig
    -0.62
    Ns
    -0.61
    ASHINGTON
    -0.57
    received
    -0.57
    cius
    -0.55
    lua
    -0.55
     Orig
    -0.55
    DX
    -0.54
    Woman
    -0.54
    POSITIVE LOGITS
     prolonged
    0.79
    ealous
    0.79
     unchecked
    0.73
    xit
    0.71
     curs
    0.70
     coupled
    0.68
    ysis
    0.68
     glance
    0.67
     influx
    0.66
     reliance
    0.66
    Activations Density 0.851%

    No Known Activations