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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. 3-RES-JB
    11. 20338
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    Explanations

    references to locations or incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to a location where significant events occur, particularly related to emergencies or incidents

    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
    iago
    -0.82
    berman
    -0.79
    atem
    -0.77
    thood
    -0.75
    ono
    -0.75
    aido
    -0.75
     Seym
    -0.71
    icrobial
    -0.69
    ongyang
    -0.69
    unes
    -0.68
    POSITIVE LOGITS
    scene
    0.94
     Scene
    0.93
     scenes
    0.88
     scene
    0.86
    Capture
    0.85
    Dialogue
    0.82
    Scene
    0.81
    neys
    0.76
     Veter
    0.75
     Scenes
    0.73
    Activations Density 0.012%

    No Known Activations