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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. 18963
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    Explanations

    proper nouns or names of entities, like newspapers and organizations

    oai_token-act-pair · gpt-3.5-turbo

    punctuations, specifically periods at the end of statements or sentences

    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
     landscape
    -0.71
     utter
    -0.71
     elephant
    -0.69
     vict
    -0.69
    lor
    -0.66
    rette
    -0.65
     winners
    -0.64
     calming
    -0.64
     solvent
    -0.63
     vegetarian
    -0.63
    POSITIVE LOGITS
     Additionally
    0.95
     Meanwhile
    0.92
     Notably
    0.91
     Investigators
    0.91
     However
    0.90
     That
    0.90
     Fif
    0.89
     Another
    0.88
     Similarly
    0.88
     Colleges
    0.85
    Activations Density 0.217%

    No Known Activations