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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. 0-RES-JB
    11. 9415
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    Explanations

    figures or numbers commonly expressed with a dot in between

    oai_token-act-pair · gpt-3.5-turbo

    the presence of numbers in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     311
    -0.69
     merc
    -0.69
     235
    -0.67
     Arc
    -0.66
     electronically
    -0.65
    yne
    -0.63
     rib
    -0.62
     manslaughter
    -0.61
    ography
    -0.60
     Neptune
    -0.60
    POSITIVE LOGITS
    49
    2.60
    48
    2.17
    46
    1.46
    52
    1.45
    51
    1.40
    47
    1.39
    488
    1.39
    495
    1.37
    496
    1.36
    44
    1.36
    Activations Density 0.028%

    No Known Activations