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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. 24525
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    Explanations

    phrases related to the field of technology and technical terms or acronyms

    oai_token-act-pair · gpt-3.5-turbo

    punctuation, specifically commas

    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
    minster
    -0.62
    venth
    -0.58
    NER
    -0.55
    URL
    -0.55
    Found
    -0.54
    estones
    -0.53
    —"
    -0.53
    FG
    -0.51
    Override
    -0.51
    FW
    -0.50
    POSITIVE LOGITS
     namely
    0.81
     please
    0.78
     including
    0.76
     etc
    0.70
     albeit
    0.70
     huh
    0.69
     wherein
    0.67
     which
    0.66
     provoking
    0.64
    please
    0.64
    Activations Density 0.316%

    No Known Activations