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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. 10-RES-JB
    11. 4879
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    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ppings
    -0.62
    anca
    -0.56
     Dame
    -0.55
    Ô
    -0.54
     foreground
    -0.54
    otrop
    -0.53
    urger
    -0.52
    displayText
    -0.51
     FIG
    -0.51
     unspecified
    -0.50
    POSITIVE LOGITS
     newsletter
    0.91
    Newsletter
    0.73
     Newsletter
    0.68
    ecast
    0.67
    letters
    0.66
     subscription
    0.63
     alerts
    0.60
    antha
    0.60
     weekday
    0.59
     Plugin
    0.59
    Activations Density 0.099%

    No Known Activations