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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. 17482
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    Explanations

    phrases indicating expectation or analysis of a future event

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating observation or expectation

    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
    76561
    -0.66
     Osw
    -0.63
    ipl
    -0.61
    ographical
    -0.61
     Mechanical
    -0.58
    rehend
    -0.57
    ulu
    -0.57
     Reporting
    -0.56
     Clicker
    -0.56
    ciating
    -0.55
    POSITIVE LOGITS
     favorably
    0.86
     poised
    0.86
     shaky
    0.80
     bleak
    0.79
     awfully
    0.77
     forward
    0.75
     kindly
    0.74
     promising
    0.73
     increasingly
    0.73
    ¬
    0.71
    Activations Density 0.078%

    No Known Activations