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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. 23888
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    Explanations

    proper nouns or entities to a specific topic or category

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "called."

    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
    ————
    -0.67
     istg
    -0.64
    Lago
    -0.63
    âĢ¢âĢ¢
    -0.62
    bourne
    -0.62
    isphere
    -0.62
    umber
    -0.61
     whereabouts
    -0.59
    Flo
    -0.59
    cia
    -0.59
    POSITIVE LOGITS
    phas
    0.98
     attention
    0.85
    igraph
    0.81
     forth
    0.78
     911
    0.78
     upon
    0.72
    backs
    0.72
     aloud
    0.68
     bluff
    0.67
    calling
    0.66
    Activations Density 0.048%

    No Known Activations