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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. 1-RES-JB
    11. 22724
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    Explanations

    references to screenshots in a text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of screenshots

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    mand
    -0.77
    ternity
    -0.76
    vet
    -0.73
    sen
    -0.72
    neg
    -0.71
    doms
    -0.69
    ofi
    -0.69
    ties
    -0.69
    shr
    -0.68
    bos
    -0.68
    POSITIVE LOGITS
    reenshot
    1.28
     screenshots
    1.25
    Screenshot
    1.16
     screenshot
    1.12
    reenshots
    1.11
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.85
     clips
    0.81
    wcsstore
    0.80
     SOFTWARE
    0.80
    amera
    0.79
    Activations Density 0.008%

    No Known Activations