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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 10790
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    INDEX
    Explanations

    entities mentioned alongside a specific numerical value

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate authorship or attribution in historical contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vc
    -0.80
    Netflix
    -0.75
    igun
    -0.75
    ploy
    -0.74
    verage
    -0.72
    internet
    -0.71
    ahime
    -0.71
    wcs
    -0.69
    register
    -0.68
    TPP
    -0.68
    POSITIVE LOGITS
     Johann
    1.38
     Augustus
    1.35
     Herod
    1.33
     Raphael
    1.28
     Sir
    1.26
     Napoleon
    1.25
     Rabbi
    1.25
     Moses
    1.25
     Franz
    1.24
     Ibn
    1.23
    Activations Density 0.370%

    No Known Activations