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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. 10-RES-JB
    6. 21114
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    Explanations

    mentions of the word "Gran" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Gran" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Laugh
    -0.67
     Lovecraft
    -0.64
     Gutenberg
    -0.62
     favorable
    -0.60
    {"
    -0.60
     stocks
    -0.59
     practiced
    -0.59
     fright
    -0.59
     Schumer
    -0.59
    hered
    -0.58
    POSITIVE LOGITS
    ularity
    1.28
    ular
    1.18
    itic
    0.98
    itary
    0.98
    vier
    0.92
    itas
    0.90
    izo
    0.87
    etti
    0.86
    ulate
    0.86
    ules
    0.85
    Activations Density 0.016%

    No Known Activations