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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. 0-RES-JB
    11. 16939
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    Explanations

    verbs related to criminal activities

    oai_token-act-pair · gpt-3.5-turbo

    references to theft or robbery

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     Handler
    -0.69
    uri
    -0.69
     Compliance
    -0.65
     Warrior
    -0.65
    metic
    -0.63
     Sunset
    -0.62
    eval
    -0.62
    ana
    -0.61
     Summit
    -0.61
    Tang
    -0.61
    POSITIVE LOGITS
     rob
    4.26
     robbing
    2.17
     robbed
    1.91
    rob
    1.57
     robber
    1.51
     robbers
    1.42
     robberies
    1.34
    Rob
    1.27
     robbery
    1.26
     ROB
    1.22
    Activations Density 0.017%

    No Known Activations