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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. 2-RES-JB
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    Explanations

    references to television programming

    oai_token-act-pair · gpt-3.5-turbo

    mentions of television content or programming

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    20439
    -0.86
    xual
    -0.81
    ctuary
    -0.72
    andestine
    -0.72
    cies
    -0.72
    staking
    -0.71
    vironment
    -0.69
    hens
    -0.68
    ussen
    -0.67
    vasive
    -0.65
    POSITIVE LOGITS
    izoph
    0.81
    levision
    0.80
    trop
    0.80
    ILLE
    0.79
     TVs
    0.77
     presenter
    0.77
     Shows
    0.75
    Guide
    0.75
    BO
    0.74
    LG
    0.73
    Activations Density 0.018%

    No Known Activations