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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. 5-RES-JB
    6. 17517
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    Explanations

    references to legal locations such as courthouses or courtroom-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "court" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rooting
    -0.67
     hol
    -0.67
     flashlight
    -0.62
     Hungarian
    -0.61
     Horus
    -0.61
     culturally
    -0.59
    ocalypse
    -0.59
     donor
    -0.59
     curfew
    -0.59
    ulously
    -0.57
    POSITIVE LOGITS
    tyard
    1.53
    thouse
    1.32
    cour
    1.12
    ser
    1.05
    ses
    0.99
    rier
    0.99
     Cour
    0.99
    sers
    0.95
    icol
    0.93
    cil
    0.92
    Activations Density 0.013%

    No Known Activations