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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. 9-RES-JB
    6. 898
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    Explanations

    references to legal actions, specifically arrests

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "arrest" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ÃŁ
    -0.81
    issance
    -0.77
    soDeliveryDate
    -0.75
    emonic
    -0.74
    vironment
    -0.64
     Remastered
    -0.63
     tasting
    -0.63
    merce
    -0.62
     deceive
    -0.61
    ^^^^
    -0.61
    POSITIVE LOGITS
    ees
    1.15
     Warrant
    1.06
     warrants
    1.03
     warrant
    0.99
    able
    0.94
    ee
    0.83
    ments
    0.80
     arrest
    0.80
     affidavit
    0.76
     Marshal
    0.76
    Activations Density 0.047%

    No Known Activations