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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. 3-RES-JB
    6. 5429
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    INDEX
    Explanations

    references to specific names or entities (e.g., companies, places, people) within sentences

    oai_token-act-pair · gpt-3.5-turbo

    references to well-known brands or companies

    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
    é¾įå
    -0.85
    âĹ¼
    -0.77
     Azerb
    -0.71
    .).
    -0.69
     pse
    -0.67
    }.
    -0.66
     reper
    -0.64
    Secondly
    -0.64
     conflic
    -0.63
     UNCLASSIFIED
    -0.63
    POSITIVE LOGITS
     âĢº
    0.92
     Updated
    0.67
    reetings
    0.66
     Originally
    0.65
     Copyright
    0.65
     spoilers
    0.63
     Belfast
    0.63
     Posted
    0.62
    Skip
    0.62
     Calculator
    0.62
    Activations Density 1.962%

    No Known Activations