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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
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    Explanations

    mentions of the word "My" followed by a proper noun

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "My" in various proper nouns and titles

    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
    Not in Any Lists

    No Comments

    Negative Logits
     bott
    -0.72
    inelli
    -0.70
    ieri
    -0.68
     yourselves
    -0.67
     ramps
    -0.66
    itud
    -0.66
    ibaba
    -0.65
     Uriel
    -0.65
    inyl
    -0.65
     ooz
    -0.65
    POSITIVE LOGITS
    stery
    1.65
    riad
    1.44
    anmar
    1.40
    ths
    1.33
    stic
    1.32
    ster
    1.07
    chal
    1.06
    croft
    1.03
    ocard
    1.03
    self
    1.01
    Activations Density 0.048%

    No Known Activations