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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 637
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    Explanations

    references to television news channels

    oai_token-act-pair · gpt-3.5-turbo

    references to television networks or broadcasts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ussen
    -0.73
    0000000000000000
    -0.73
    hammad
    -0.69
    hend
    -0.69
    cific
    -0.68
    leans
    -0.68
    tha
    -0.67
    strument
    -0.66
     otherwise
    -0.66
    notations
    -0.65
    POSITIVE LOGITS
    ILLE
    1.26
     Everywhere
    0.88
    trop
    0.86
    NZ
    0.84
     Broadcasting
    0.83
    iolet
    0.83
    OS
    0.80
    NG
    0.80
    ISION
    0.77
    PG
    0.74
    Activations Density 0.021%

    No Known Activations