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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. 7-RES-JB
    11. 19403
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    Explanations

    words related to television shows and movies

    oai_token-act-pair · gpt-3.5-turbo

    references to television shows and media-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    METHOD
    -0.84
    YC
    -0.77
    CHAT
    -0.71
    ilogy
    -0.70
    ãĤ¶
    -0.69
    Kn
    -0.69
    Mech
    -0.68
    ãĥª
    -0.68
    ãĤ¢ãĥ«
    -0.67
    Method
    -0.66
    POSITIVE LOGITS
    hips
    1.05
    hops
    0.89
    hip
    0.88
    etting
    0.87
    chool
    0.85
     ranging
    0.82
     everywhere
    0.82
     belonging
    0.82
    mith
    0.81
    ynthesis
    0.78
    Activations Density 0.516%

    No Known Activations