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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. 8785
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    Explanations

    terms related to actions or situations involving 'boom' or quick movement

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "bo" and its variations, suggesting a focus on terms indicating disturbance or complaint

    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
    ners
    -0.75
     Cause
    -0.67
    shire
    -0.65
    nexus
    -0.61
    nam
    -0.58
     totality
    -0.57
    dating
    -0.57
     correctness
    -0.57
    mit
    -0.55
     Lords
    -0.55
    POSITIVE LOGITS
    gey
    1.04
    ppy
    0.94
    pping
    0.92
    ogie
    0.91
    pped
    0.90
    gged
    0.87
    oby
    0.84
    pperc
    0.82
    zz
    0.80
    $$
    0.80
    Activations Density 0.063%

    No Known Activations