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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. 3860
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    Explanations

    years in bibliographic references

    oai_token-act-pair · gpt-3.5-turbo

    mention of academic citations and publication years

    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
    venge
    -0.73
    FORM
    -0.67
    ongs
    -0.66
    isec
    -0.65
    ongh
    -0.65
     proced
    -0.65
    imer
    -0.64
    unal
    -0.63
    ardless
    -0.63
    Override
    -0.63
    POSITIVE LOGITS
    å¹
    0.95
     Edition
    0.75
     edition
    0.73
    published
    0.70
     EDITION
    0.68
     pp
    0.68
    é¾
    0.67
     Accessed
    0.65
     Highlights
    0.64
     PhD
    0.62
    Activations Density 0.038%

    No Known Activations