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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. 8-RES-JB
    11. 19280
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    Explanations

    authors of various written works

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating authorship and the number of works by different authors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Enlarge
    -0.71
    MSN
    -0.65
     Fuj
    -0.62
     magnification
    -0.60
     grouping
    -0.60
     broom
    -0.60
     camer
    -0.58
    pring
    -0.58
     loosen
    -0.57
     limitation
    -0.57
    POSITIVE LOGITS
    itatively
    0.79
     books
    0.77
    letters
    0.75
     memoir
    0.74
     Awakens
    0.73
     blogs
    0.71
     Surv
    0.69
     novels
    0.68
     essays
    0.67
     poems
    0.66
    Activations Density 0.072%

    No Known Activations