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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. 11771
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    INDEX
    Explanations

    mentions of public speaking or giving speeches

    oai_token-act-pair · gpt-3.5-turbo

    instances of speaking or discussions about various topics

    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
    eers
    -0.69
    isal
    -0.69
    imet
    -0.64
    avery
    -0.63
    pps
    -0.62
    ccording
    -0.61
    eer
    -0.61
    neath
    -0.61
    =~
    -0.60
    ppo
    -0.59
    POSITIVE LOGITS
     favorably
    1.10
     glow
    1.05
     harshly
    0.99
     passionately
    0.98
     candid
    0.98
     anonymously
    0.95
     negatively
    0.94
     frankly
    0.93
     positively
    0.92
     aloud
    0.92
    Activations Density 0.037%

    No Known Activations