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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. 11477
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    Explanations

    patterns related to computer code or data formats

    oai_token-act-pair · gpt-3.5-turbo

    elements of structured data or format-like representations, such as lists or tables

    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
    gom
    -0.80
    (-
    -0.74
    ËĪ
    -0.74
    EVA
    -0.71
    /-
    -0.70
    âĢİ
    -0.70
    10000
    -0.66
    usercontent
    -0.65
     franc
    -0.65
    Footnote
    -0.65
    POSITIVE LOGITS
     commuting
    0.75
    assadors
    0.70
    ļéĨĴ
    0.66
     breaching
    0.66
     {*
    0.62
    adiq
    0.62
    ispers
    0.61
    interstitial
    0.60
     rese
    0.59
    RECT
    0.58
    Activations Density 0.062%

    No Known Activations