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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. 7-RES-JB
    11. 9398
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    Explanations

    Abbreviations with multiple capital letters followed by numbers

    oai_token-act-pair · gpt-3.5-turbo

    elements of structured data or lists within the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hement
    -1.16
     favoured
    -0.73
    abouts
    -0.69
    uly
    -0.66
     honoured
    -0.65
    awei
    -0.63
    ataka
    -0.62
    etheless
    -0.61
    pecially
    -0.61
     jeopard
    -0.61
    POSITIVE LOGITS
    ³³³³³³³³³³³³³³³³
    0.96
    ³³³³³³³³
    0.87
    ³³³³
    0.80
    ³³³
    0.76
    ãĥīãĥ©
    0.66
    ³³
    0.64
    ãĥŁ
    0.64
    Grade
    0.64
     Ends
    0.64
     Count
    0.61
    Activations Density 0.167%

    No Known Activations