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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. 4818
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    Explanations

    quotes or statements within the text

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to voting and citations

    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
     Misty
    -0.72
    Nap
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    Fal
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    Cover
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     dissolution
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    Upload
    -0.63
     Seeds
    -0.63
    flix
    -0.61
     abduction
    -0.61
    Div
    -0.58
    POSITIVE LOGITS
    ronics
    0.84
     Helpful
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    wana
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    lection
    0.81
    ancies
    0.80
    tsky
    0.78
    rid
    0.78
    ients
    0.76
    acters
    0.76
    Activations Density 0.016%

    No Known Activations