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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. 14297
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    Explanations

    topics or events that are the primary focus or subject of discussion

    oai_token-act-pair · gpt-3.5-turbo

    terms related to commitment and dedication in various contexts

    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
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    No Comments

    Negative Logits
    burgh
    -0.72
     Fargo
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    Quote
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    quickShipAvailable
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    holes
    -0.58
     Daylight
    -0.58
    talk
    -0.58
    RESULTS
    -0.57
     CoC
    -0.56
    cards
    -0.56
    POSITIVE LOGITS
     solely
    1.00
     exclusively
    0.94
    itled
    0.85
     chiefly
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    ¥ŀ
    0.79
     entirely
    0.75
     primarily
    0.74
     loosely
    0.72
     by
    0.72
     principally
    0.72
    Activations Density 0.262%

    No Known Activations