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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. 3-RES-JB
    11. 23728
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    Explanations

    questions asked by interviewers

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "asked"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    marine
    -0.74
    Charge
    -0.70
    Ĥ¬
    -0.69
    pite
    -0.65
     Tigers
    -0.63
     Difference
    -0.63
    photos
    -0.62
    commit
    -0.61
    ordinate
    -0.61
    Î
    -0.61
    POSITIVE LOGITS
     rhet
    1.25
     asked
    1.05
     questions
    1.01
     probing
    0.99
    naires
    0.91
     asks
    0.88
    ioned
    0.87
     questioned
    0.86
     moderators
    0.85
     moderator
    0.81
    Activations Density 0.041%

    No Known Activations