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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. 4217
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    Explanations

    words related to criminal activities, specifically "crooks" and variations of the word "cropping."

    oai_token-act-pair · gpt-3.5-turbo

    words or phrases related to crops and cropping

    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
    ãĥ¼ãĥĨãĤ£
    -0.79
    UAL
    -0.78
    endez
    -0.77
    ullah
    -0.75
     sidx
    -0.72
    ERSON
    -0.71
    hips
    -0.70
    imental
    -0.70
     partName
    -0.69
     totality
    -0.68
    POSITIVE LOGITS
     cro
    1.03
    pper
    0.97
    oks
    0.96
    oked
    0.85
    cro
    0.83
    pped
    0.80
    grain
    0.77
    opa
    0.76
    pping
    0.75
    riter
    0.75
    Activations Density 0.004%

    No Known Activations