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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. 0-RES-JB
    11. 10050
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    Explanations

    phrases related to giving or instructions

    oai_token-act-pair · gpt-3.5-turbo

    directives or requests for action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     L
    -0.83
     AP
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     R
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     Special
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     Ded
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     Se
    -0.78
     Opp
    -0.78
     M
    -0.78
     More
    -0.77
     Co
    -0.77
    POSITIVE LOGITS
    Give
    1.73
    Leave
    1.67
    Have
    1.67
    Maybe
    1.65
    Look
    1.62
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    1.61
    Honestly
    1.56
    Remember
    1.56
    Looks
    1.55
    Everyone
    1.55
    Activations Density 0.110%

    No Known Activations