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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 718
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    Explanations

    personal pronouns followed by verbs of communication like "ask", "tell", or "teach"

    oai_token-act-pair · gpt-3.5-turbo

    references to people being asked questions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ourning
    -0.77
    Ĥ¬
    -0.76
    acca
    -0.76
    audio
    -0.66
    BuyableInstoreAndOnline
    -0.66
    aten
    -0.66
    pite
    -0.65
    kered
    -0.65
    ushima
    -0.63
    edition
    -0.62
    POSITIVE LOGITS
     questions
    1.12
     rhet
    1.00
     probing
    0.95
     question
    0.92
     forgiveness
    0.90
     QUEST
    0.87
     Questions
    0.83
     politely
    0.82
     plaint
    0.82
    question
    0.82
    Activations Density 0.120%

    No Known Activations