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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 11368
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    Explanations

    prepositions followed by nouns for phrases related to objects and actions

    oai_token-act-pair · gpt-3.5-turbo

    commas and other punctuation marks in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Chiefs
    -0.74
     Mai
    -0.72
     Nare
    -0.67
    oup
    -0.66
     Argon
    -0.66
     119
    -0.66
     Nom
    -0.66
    payer
    -0.63
     Tale
    -0.63
    mite
    -0.63
    POSITIVE LOGITS
     thereby
    0.83
    tein
    0.79
     oneself
    0.78
     minimizing
    0.77
     stuffing
    0.75
     noticing
    0.73
     preferably
    0.71
     distributing
    0.71
     maximizing
    0.71
     optimizing
    0.70
    Activations Density 0.667%

    No Known Activations