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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. 2-RES-JB
    11. 15463
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    Explanations

    words related to the activity of cropping, such as "cropped" and "cropping"

    oai_token-act-pair · gpt-3.5-turbo

    words related to the concept of "crop" or "cropping."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    endez
    -0.77
    hips
    -0.77
    ãĥ¼ãĥĨãĤ£
    -0.75
    ERSON
    -0.73
    imental
    -0.71
    UAL
    -0.71
    VERTIS
    -0.69
    IELD
    -0.69
    iating
    -0.69
    ullah
    -0.68
    POSITIVE LOGITS
     cro
    1.07
    grain
    0.88
    oks
    0.87
    pper
    0.86
    cro
    0.84
    oked
    0.84
    pped
    0.73
     Cro
    0.72
     Schne
    0.70
    ag
    0.70
    Activations Density 0.004%

    No Known Activations