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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. 17314
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    INDEX
    Explanations

    quotations from texts

    oai_token-act-pair · gpt-3.5-turbo

    instances of quoted speech or dialogue

    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
     casc
    -0.84
     pacing
    -0.81
     creep
    -0.78
     vault
    -0.78
     hauled
    -0.76
     footing
    -0.74
     crank
    -0.72
     flo
    -0.72
     yard
    -0.71
     plateau
    -0.71
    POSITIVE LOGITS
    We
    1.54
    Our
    1.48
    There
    1.40
    Today
    1.40
    They
    1.35
    Tomorrow
    1.35
    Such
    1.34
    People
    1.33
    It
    1.33
    Therefore
    1.32
    Activations Density 0.105%

    No Known Activations