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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. 16180
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    Explanations

    references to images or visual representations such as screenshots

    oai_token-act-pair · gpt-3.5-turbo

    references to screenshots

    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
    iott
    -0.90
    neg
    -0.74
    doms
    -0.74
    secut
    -0.72
    vet
    -0.72
    elsen
    -0.70
    ternity
    -0.70
    church
    -0.70
    mand
    -0.68
    erto
    -0.68
    POSITIVE LOGITS
    reenshot
    1.20
     screenshots
    1.10
    reenshots
    1.05
     screenshot
    1.00
    Screenshot
    0.92
     Thumbnails
    0.80
    photos
    0.76
     SOFTWARE
    0.75
     thereof
    0.75
    Features
    0.72
    Activations Density 0.013%

    No Known Activations