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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. 6-RES-JB
    11. 866
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    Explanations

    phrases indicating reliance or trust

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate reliance or dependence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    natureconservancy
    -0.64
    FK
    -0.64
     Clicker
    -0.60
    vice
    -0.60
    liction
    -0.59
    eah
    -0.59
    BIL
    -0.58
    anton
    -0.57
    Untitled
    -0.57
    obal
    -0.56
    POSITIVE LOGITS
     by
    1.11
     BY
    0.94
    by
    0.86
    sole
    0.79
     aback
    0.72
    monton
    0.71
    bys
    0.69
    umerable
    0.68
     Maced
    0.66
     By
    0.66
    Activations Density 0.197%

    No Known Activations