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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. 1-RES-JB
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    INDEX
    Explanations

    instances of hope or expectation

    oai_token-act-pair · gpt-3.5-turbo

    expressions of hope or anticipation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    classified
    -0.91
    cens
    -0.77
    versions
    -0.75
    desktop
    -0.72
    SPONSORED
    -0.71
    meta
    -0.70
    transfer
    -0.70
    cious
    -0.70
    administ
    -0.69
    cia
    -0.69
    POSITIVE LOGITS
     hoping
    0.97
     hope
    0.78
     hopeful
    0.77
     awaiting
    0.72
    irection
    0.71
     await
    0.70
     hopes
    0.69
    eful
    0.69
    hedral
    0.69
     mates
    0.68
    Activations Density 0.004%

    No Known Activations