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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. 4-RES-JB
    6. 8874
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    Explanations

    terms related to security personnel or law enforcement officers

    oai_token-act-pair · gpt-3.5-turbo

    references to security personnel

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

    No Comments

    Negative Logits
    BLE
    -0.74
     Scotia
    -0.70
    ãĥ£
    -0.67
    FORM
    -0.66
    NOT
    -0.64
    astical
    -0.63
    KEN
    -0.63
    ctive
    -0.63
     Hemp
    -0.61
    à¤
    -0.60
    POSITIVE LOGITS
    men
    1.07
     guarding
    1.04
    andowski
    0.97
     guards
    0.94
    maid
    0.92
    guards
    0.90
     stationed
    0.88
    hip
    0.85
    rail
    0.83
    masters
    0.81
    Activations Density 0.009%

    No Known Activations