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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. 11-RES-JB
    11. 16585
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    Explanations

    phrases related to decisions and self-acceptance

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to choice and acceptance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ullivan
    -0.76
    phe
    -0.63
    edit
    -0.62
    arkin
    -0.61
    govtrack
    -0.60
    oshenko
    -0.60
    idis
    -0.56
    tip
    -0.56
     Russo
    -0.55
     bidder
    -0.55
    POSITIVE LOGITS
     ourselves
    2.33
     our
    1.76
     OUR
    1.40
    Our
    1.39
     Our
    1.26
     we
    1.23
     ours
    1.18
     selves
    1.09
    We
    1.07
     We
    1.02
    Activations Density 0.989%

    No Known Activations