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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. 7-RES-JB
    11. 11182
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    Explanations

    phrases related to specific actions or purposes

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating purpose or function

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    é¾
    -0.73
    egu
    -0.67
    smanship
    -0.67
    lyak
    -0.62
    alore
    -0.61
    wright
    -0.59
    aky
    -0.59
    odynam
    -0.59
     Seym
    -0.59
    å£
    -0.58
    POSITIVE LOGITS
    bidden
    0.95
     instance
    0.87
     example
    0.84
    gotten
    0.82
    ked
    0.75
    cing
    0.73
    instance
    0.72
     Developers
    0.70
    gery
    0.70
     Psy
    0.69
    Activations Density 0.028%

    No Known Activations