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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. 11396
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    Explanations

    proper nouns related to people or places

    oai_token-act-pair · gpt-3.5-turbo

    abbreviations or shorthand forms that imply or introduce concepts

    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
    EStream
    -0.67
    LOD
    -0.66
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.66
    uminati
    -0.65
     pony
    -0.65
     Hobbit
    -0.64
    foundland
    -0.63
     Asgard
    -0.61
    CLASSIFIED
    -0.61
     ALS
    -0.60
    POSITIVE LOGITS
    ifully
    1.18
    cially
    1.15
    rarily
    1.14
    itting
    1.12
    ately
    1.09
    cknowled
    1.07
    ually
    1.06
    aring
    1.05
    ounding
    1.05
    itionally
    1.04
    Activations Density 0.203%

    No Known Activations