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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. 6286
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    Explanations

    names and phrases related to legal proceedings and judgments

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal proceedings and decisions

    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
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    No Comments

    Negative Logits
    etheless
    -0.63
     Annotations
    -0.57
     «
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     Whedon
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     Slav
    -0.53
     Lavrov
    -0.52
     Fey
    -0.52
     Material
    -0.50
     Abyss
    -0.50
    ↵Âł
    -0.49
    POSITIVE LOGITS
    ,'"
    1.30
    ),"
    1.16
    ,"
    1.12
    .")
    1.04
    ,''
    1.01
    .,"
    1.01
    ?'"
    0.98
    ',"
    0.97
     [
    0.97
    %"
    0.95
    Activations Density 1.248%

    No Known Activations