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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. 10-RES-JB
    11. 10493
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    Explanations

    verbs related to successful actions or achievements

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "succeed" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     towels
    -0.71
     Authorization
    -0.68
    liner
    -0.67
    pper
    -0.64
     reserved
    -0.62
    inki
    -0.61
     workspace
    -0.60
    erton
    -0.59
     greens
    -0.58
     onions
    -0.57
    POSITIVE LOGITS
     miser
    1.02
    awaru
    0.92
     academ
    0.83
     financially
    0.78
     spectacular
    0.78
     brilliantly
    0.76
     dism
    0.73
     beyond
    0.72
    ional
    0.72
     in
    0.71
    Activations Density 0.039%

    No Known Activations