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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 4-RES-JB
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    Explanations

    the word "adaptation."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of adaptations and remakes of various media

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

    No Comments

    Negative Logits
    apse
    -0.81
    etsk
    -0.80
    ãģį
    -0.80
    mouth
    -0.78
    Cola
    -0.72
    lear
    -0.71
    urance
    -0.71
    acia
    -0.70
    otics
    -0.70
    nutrition
    -0.66
    POSITIVE LOGITS
     adaptation
    1.27
     adaptations
    0.95
     screenplay
    0.86
    xual
    0.82
     premiered
    0.77
     portrayal
    0.74
     remake
    0.73
     thereof
    0.72
     portrays
    0.71
     adapted
    0.71
    Activations Density 0.034%

    No Known Activations