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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. 3-RES-JB
    11. 4916
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    Explanations

    references to equipment and devices such as triggers, shutters, and muzzles

    oai_token-act-pair · gpt-3.5-turbo

    terms related to photographic techniques and equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    NetMessage
    -0.82
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    -0.79
    aundering
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    ortium
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    lia
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    -0.72
    ulla
    -0.71
    lly
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    llah
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    allo
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    POSITIVE LOGITS
     shutter
    1.22
    bugs
    0.98
    bug
    0.86
    âĸ¬
    0.80
    photos
    0.77
    window
    0.72
    phot
    0.69
    sight
    0.67
    RGB
    0.67
    ritten
    0.66
    Activations Density 0.020%

    No Known Activations