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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. 4-RES-JB
    11. 13432
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    Explanations

    numerical values or statistics mentioned in a text

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and references related to points or scores

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

    No Comments

    Negative Logits
     Strategies
    -0.56
     Lank
    -0.55
     Lanka
    -0.54
     Background
    -0.53
     exceptions
    -0.50
     Highlights
    -0.50
     Recording
    -0.49
     Growth
    -0.48
     Lines
    -0.48
    )--
    -0.47
    POSITIVE LOGITS
    onto
    0.54
    itably
    0.52
    aturday
    0.51
    antage
    0.51
    isable
    0.50
    imeo
    0.49
    redd
    0.49
    nih
    0.49
    widget
    0.48
     semblance
    0.48
    Activations Density 2.227%

    No Known Activations