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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. 10-RES-JB
    11. 21587
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    specific names or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bathrooms
    -0.61
     weddings
    -0.58
     selfies
    -0.57
     riots
    -0.56
     toilets
    -0.55
     commercials
    -0.54
     stadiums
    -0.54
     fries
    -0.52
     airs
    -0.52
     suicides
    -0.51
    POSITIVE LOGITS
    irt
    0.56
    º
    0.55
    usk
    0.53
    EMBER
    0.52
    raft
    0.52
     <<
    0.51
    ledge
    0.51
    than
    0.51
    ij
    0.51
    ½
    0.50
    Activations Density 1.223%

    No Known Activations