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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. 9-RES-JB
    11. 13163
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    Explanations

    phrases related to dealing with various situations, challenges, and responsibilities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "deal with"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OGR
    -0.89
    etry
    -0.78
    nes
    -0.76
     teasp
    -0.76
    saf
    -0.75
    ouf
    -0.74
    AUT
    -0.74
    ires
    -0.73
    wikipedia
    -0.72
    GP
    -0.71
    POSITIVE LOGITS
     adversity
    1.25
     pesky
    1.14
     issues
    1.05
     fallout
    1.00
     emergencies
    0.99
     crises
    0.97
     problems
    0.96
     difficulties
    0.91
     situations
    0.90
     questions
    0.89
    Activations Density 0.096%

    No Known Activations