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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 13917
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    Explanations

    mentions of airplanes or plane-related incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to aircraft or aviation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    laus
    -1.03
    PUT
    -0.85
    essee
    -0.78
    UGC
    -0.75
    OFF
    -0.73
     Cumber
    -0.72
    optional
    -0.72
    FINE
    -0.70
    lishes
    -0.70
    é»Ĵ
    -0.68
    POSITIVE LOGITS
     planes
    1.08
     plane
    1.08
    plane
    1.08
     airplanes
    1.06
    planes
    1.01
     airliner
    1.01
     Planes
    0.99
     hangar
    0.95
     carrier
    0.94
     prope
    0.93
    Activations Density 0.019%

    No Known Activations