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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. 1430
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    Explanations

    mentions of the brand "Nike."

    oai_token-act-pair · gpt-3.5-turbo

    the word "keke" in various contexts

    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
    Not in Any Lists

    No Comments

    Negative Logits
    aceutical
    -0.64
     SEM
    -0.58
     istg
    -0.56
    ivity
    -0.56
    orship
    -0.55
     widened
    -0.55
    naires
    -0.55
     tightening
    -0.54
     accommodation
    -0.53
     balloons
    -0.53
    POSITIVE LOGITS
    vich
    1.39
    ls
    1.30
    llers
    1.29
    ller
    1.27
    vic
    1.27
    leys
    1.24
    gaard
    1.19
    ptic
    1.16
    letal
    1.15
    witz
    1.13
    Activations Density 0.051%

    No Known Activations