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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. 11-RES-JB
    11. 1563
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    Explanations

    phrases related to law enforcement activities and legal proceedings, particularly focusing on the absence of certain events or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    negations or the absence of events or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gypt
    -0.78
    enium
    -0.76
    phe
    -0.72
    kept
    -0.69
    every
    -0.68
    illus
    -0.67
    govtrack
    -0.66
    cheon
    -0.66
    amaru
    -0.65
    perse
    -0.64
    POSITIVE LOGITS
     arrests
    1.15
     indication
    1.13
     indications
    1.04
     details
    1.01
     formal
    0.99
     wrongdoing
    0.97
     definitive
    0.96
     specifics
    0.96
     conclusive
    0.96
     immediate
    0.96
    Activations Density 0.082%

    No Known Activations