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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. 9-RES-JB
    11. 1315
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    Explanations

    narrative sequences involving interactions between people

    oai_token-act-pair · gpt-3.5-turbo

    sudden, unexpected events or encounters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.74
     redes
    -0.71
    vre
    -0.70
     satisf
    -0.70
    unal
    -0.69
    utterstock
    -0.69
     merits
    -0.68
     Profit
    -0.65
     independ
    -0.65
    Correct
    -0.64
    POSITIVE LOGITS
     backstage
    0.92
     [
    0.90
     ['
    0.86
     yelling
    0.85
     Coach
    0.84
     somebody
    0.83
     uh
    0.82
     saying
    0.81
     fuckin
    0.79
     wanna
    0.79
    Activations Density 0.555%

    No Known Activations