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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. 3-RES-JB
    11. 6215
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    Explanations

    people's names

    oai_token-act-pair · gpt-3.5-turbo

    the word "who" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bound
    -0.75
    BACK
    -0.70
    ³³³³
    -0.66
    ª
    -0.64
     Messages
    -0.63
     Beet
    -0.62
     Around
    -0.62
    Georg
    -0.62
     Nin
    -0.61
     Basics
    -0.61
    POSITIVE LOGITS
    soever
    1.13
     resided
    0.86
     preceded
    0.85
     accompanies
    0.85
    ever
    0.84
     owns
    0.84
     attended
    0.84
    raltar
    0.83
     oversees
    0.83
    oping
    0.81
    Activations Density 0.126%

    No Known Activations