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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. 11-RES-JB
    11. 12505
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    INDEX
    Explanations

    proper nouns such as names of people or companies

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Lie" and its variations in different forms

    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
     circles
    -0.67
     capitals
    -0.62
     mush
    -0.61
     quarters
    -0.60
     ecstasy
    -0.60
     apex
    -0.59
     ACTIONS
    -0.58
    CLASSIFIED
    -0.58
    âĶģ
    -0.58
     mayhem
    -0.58
    POSITIVE LOGITS
    ffer
    1.41
    bler
    1.37
    hler
    1.30
    hl
    1.29
    ppel
    1.28
    gel
    1.24
    ff
    1.24
    hn
    1.24
    hner
    1.23
    ÃŁ
    1.23
    Activations Density 0.060%

    No Known Activations