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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. 6-RES-JB
    11. 21972
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    Explanations

    direct or indirect questions that require a response

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "questions."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ufact
    -1.00
    yss
    -0.76
    rites
    -0.75
    ensions
    -0.74
    axy
    -0.73
    tsky
    -0.70
    alty
    -0.69
    orpor
    -0.66
     Tycoon
    -0.65
    ortunately
    -0.64
    POSITIVE LOGITS
    naires
    1.45
    naire
    1.22
     answered
    1.12
     posed
    1.02
     questions
    0.92
     unanswered
    0.90
     pertaining
    0.86
     asked
    0.85
     probing
    0.82
    answered
    0.81
    Activations Density 0.044%

    No Known Activations