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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. 2-RES-JB
    11. 18776
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    Explanations

    references to legal documents or procedures, particularly warrants

    oai_token-act-pair · gpt-3.5-turbo

    references to legal search warrants

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -0.67
    hhhh
    -0.67
    ttle
    -0.61
     Straw
    -0.61
    esta
    -0.61
    kens
    -0.60
    hh
    -0.60
     Catch
    -0.59
     Brun
    -0.58
    cius
    -0.58
    POSITIVE LOGITS
     warrant
    1.29
     warrants
    1.27
    ably
    0.92
    ments
    0.82
    lessly
    0.81
     Warrant
    0.81
     warr
    0.80
    itures
    0.79
     affidavit
    0.75
    abases
    0.75
    Activations Density 0.015%

    No Known Activations