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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
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    references to television programs

    oai_token-act-pair · gpt-3.5-turbo

    references to television

    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
    fter
    -0.73
    leans
    -0.71
    xual
    -0.71
    ussen
    -0.70
    ific
    -0.69
    reci
    -0.69
    20439
    -0.66
    utter
    -0.65
    hens
    -0.65
    uth
    -0.64
    POSITIVE LOGITS
    levision
    1.07
     broadcasts
    0.97
     broadcasting
    0.89
     commercials
    0.87
     Broadcasting
    0.87
    plays
    0.83
    trop
    0.82
     broadcasters
    0.82
     presenter
    0.81
     Broadcast
    0.78
    Activations Density 0.020%

    No Known Activations