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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. 2-RES-JB
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    Explanations

    questions words in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    the repeated use of the 'WH' question words, indicating inquiries or prompts related to "who," "what," "where," "when," and "why."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bart
    -0.66
     Grande
    -0.63
     Sunshine
    -0.63
    uating
    -0.62
    uated
    -0.62
     Defenders
    -0.60
     clearance
    -0.60
     advance
    -0.60
     Bucks
    -0.59
     Replay
    -0.59
    POSITIVE LOGITS
    soever
    1.24
    ilst
    1.20
    ispers
    1.09
    olly
    1.04
    istle
    1.00
    ipl
    0.95
    irlwind
    0.94
    itness
    0.93
    ither
    0.90
    oles
    0.90
    Activations Density 0.009%

    No Known Activations