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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. 0-RES-JB
    11. 15560
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    Explanations

    expressions of strong emotion or astonishment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of amazement and congratulatory phrases

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     recourse
    -0.71
     separ
    -0.68
     armed
    -0.66
     penal
    -0.65
    apers
    -0.65
     liable
    -0.64
    resp
    -0.62
    portation
    -0.61
     chosen
    -0.61
    prop
    -0.61
    POSITIVE LOGITS
     Wow
    3.54
    Wow
    2.79
    wow
    2.79
     wow
    2.75
     Congratulations
    1.40
    Congratulations
    1.34
     Oops
    1.30
     Hmm
    1.28
     Huh
    1.28
    Huh
    1.25
    Activations Density 0.030%

    No Known Activations