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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. 4-RES-JB
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    Explanations

    adjectives expressing strong emotions or opinions

    oai_token-act-pair · gpt-3.5-turbo

    adjectives expressing strong emotional reactions or evaluations

    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
    mage
    -0.71
     downed
    -0.65
    oping
    -0.64
    OTE
    -0.62
     subsequent
    -0.62
    issue
    -0.62
    abiding
    -0.61
     governs
    -0.61
    improve
    -0.60
    tein
    -0.60
    POSITIVE LOGITS
     enough
    0.88
     Beir
    0.87
    imaru
    0.78
     Croat
    0.73
     Dragonbound
    0.72
     Canaver
    0.72
     Pwr
    0.68
     XD
    0.68
     Dull
    0.67
     surpr
    0.67
    Activations Density 0.151%

    No Known Activations