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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. 4-RES-JB
    11. 16318
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    Explanations

    references to specific areas or industries such as the music scene, punk scene, food scene, or competitive gaming scene

    oai_token-act-pair · gpt-3.5-turbo

    mentions of various types of scenes

    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
    icrobial
    -0.82
    heit
    -0.81
    berman
    -0.79
    secut
    -0.73
    reditary
    -0.73
    ippi
    -0.72
    azel
    -0.71
    oug
    -0.70
    apo
    -0.70
    olulu
    -0.69
    POSITIVE LOGITS
     Scene
    0.95
    osphere
    0.88
    Dialogue
    0.83
    LINE
    0.82
    scene
    0.79
     Scenes
    0.77
     scene
    0.76
     scenes
    0.69
     Veter
    0.68
    Capture
    0.67
    Activations Density 0.011%

    No Known Activations