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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. 23729
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    Explanations

    phrases indicating a warning or caution

    oai_token-act-pair · gpt-3.5-turbo

    phrases and expressions related to maintaining clarity and focus in discussions

    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
     Archdemon
    -0.66
    umar
    -0.65
     Landing
    -0.63
    nor
    -0.63
    haus
    -0.61
    some
    -0.59
     Seym
    -0.59
    dayName
    -0.58
     Channel
    -0.57
    worthy
    -0.57
    POSITIVE LOGITS
     offended
    1.13
     bored
    1.07
     distracted
    1.06
     sucked
    1.06
     annoyed
    1.03
     discouraged
    1.02
     excited
    1.00
     frustrated
    1.00
     carried
    0.99
     upset
    0.98
    Activations Density 0.097%

    No Known Activations