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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. 11-RES-JB
    11. 2318
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    INDEX
    Explanations

    mentions of insignificant or relatively small magnitudes or issues

    oai_token-act-pair · gpt-3.5-turbo

    references to minor incidents or injuries

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ridor
    -0.75
    arching
    -0.66
    lyn
    -0.66
    utherland
    -0.65
    pter
    -0.64
    aline
    -0.63
    igslist
    -0.63
    earchers
    -0.62
     Rising
    -0.60
     Forever
    -0.60
    POSITIVE LOGITS
     inconven
    1.22
     inconvenience
    1.14
     annoyance
    1.10
     tweaks
    1.08
     annoy
    1.01
     adjustments
    0.97
     spoilers
    0.90
     variations
    0.88
     tweak
    0.87
    pox
    0.85
    Activations Density 0.067%

    No Known Activations