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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. 3-RES-JB
    11. 9159
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    Explanations

    and classify weights in pounds

    oai_token-act-pair · gpt-3.5-turbo

    quantities related to weight measurements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    protected
    -0.74
     Candy
    -0.73
    idate
    -0.73
     Turing
    -0.66
     Ninth
    -0.65
     Fields
    -0.64
    opoulos
    -0.64
     Comet
    -0.63
     Mothers
    -0.63
    itual
    -0.63
    POSITIVE LOGITS
    lbs
    0.92
     lbs
    0.88
    .,
    0.87
    etooth
    0.85
    vl
    0.83
    veland
    0.81
    hered
    0.79
    ught
    0.78
    lb
    0.75
    isine
    0.74
    Activations Density 0.005%

    No Known Activations