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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. 6-RES-JB
    11. 9157
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    INDEX
    Explanations

    adjectives expressing confusion or puzzlement

    oai_token-act-pair · gpt-3.5-turbo

    words related to confusion and bewilderment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     indo
    -0.63
    BACK
    -0.63
     Swords
    -0.63
     IRA
    -0.62
     wrist
    -0.61
     deed
    -0.61
     Lean
    -0.61
     faire
    -0.61
     orally
    -0.61
    ÃĥÃĤÃĥÃĤ
    -0.61
    POSITIVE LOGITS
    ingly
    1.06
    uously
    0.96
    azes
    0.95
    icably
    0.93
    acle
    0.90
    aunted
    0.86
    stru
    0.85
    azed
    0.84
    ishment
    0.82
    vic
    0.82
    Activations Density 0.065%

    No Known Activations