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

    mentions of television

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "television."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    xual
    -0.76
    ussen
    -0.75
    etsy
    -0.68
    cific
    -0.68
    agher
    -0.68
    20439
    -0.67
    forth
    -0.66
    wegian
    -0.66
    ^^^^
    -0.64
    ebook
    -0.63
    POSITIVE LOGITS
     broadcasts
    1.00
    levision
    0.95
     commercials
    0.92
     broadcasting
    0.87
    plays
    0.87
    trop
    0.86
     broadcasters
    0.83
     programmes
    0.81
     Broadcasting
    0.79
     productions
    0.79
    Activations Density 0.023%

    No Known Activations