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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 11652
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    Explanations

    pronouns referring to people or entities previously mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    references to people or groups in relation to their actions or characteristics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    AND
    -0.71
    onsequ
    -0.64
     Meaning
    -0.62
    ising
    -0.62
    PLIC
    -0.60
     Trop
    -0.59
    ont
    -0.58
    ounding
    -0.57
    istance
    -0.56
    Instruct
    -0.56
    POSITIVE LOGITS
     owns
    1.10
     specializes
    1.00
     specialize
    0.95
     participated
    0.92
     loves
    0.88
     understands
    0.87
     possesses
    0.86
     enjoys
    0.85
     cares
    0.84
     participates
    0.84
    Activations Density 0.118%

    No Known Activations