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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. 10-RES-JB
    11. 5932
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    INDEX
    Explanations

    pronouns related to the audience or the speaker

    oai_token-act-pair · gpt-3.5-turbo

    references to "us" in a context suggesting involvement or collective experience

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Reilly
    -0.67
     Levine
    -0.58
     Publication
    -0.56
     CPC
    -0.56
    fect
    -0.55
    aryl
    -0.54
    hetti
    -0.54
    stick
    -0.53
     Hai
    -0.53
     Rowe
    -0.52
    POSITIVE LOGITS
    selves
    1.24
     ourselves
    1.18
    hers
    1.10
     selves
    1.01
    ury
    1.01
    urious
    0.94
     mortals
    0.93
    urers
    0.92
    aning
    0.86
    avers
    0.85
    Activations Density 0.079%

    No Known Activations