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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. 15151
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    Explanations

    phrases with the format "first-degree [noun]"

    oai_token-act-pair · gpt-3.5-turbo

    phrases containing "first" followed by various contextual references, often related to legal or significant events

    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
     Canaver
    -0.65
    âĸĴ
    -0.63
     Restrict
    -0.63
    âĸĵ
    -0.62
     shroud
    -0.62
    kson
    -0.61
    âĶģ
    -0.61
     Richards
    -0.61
    MENTS
    -0.61
    stanbul
    -0.60
    POSITIVE LOGITS
    degree
    1.15
    generation
    1.14
    class
    1.02
    level
    1.00
    contact
    0.99
    century
    0.96
    year
    0.95
    order
    0.95
    party
    0.95
    hand
    0.94
    Activations Density 0.031%

    No Known Activations