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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. 21226
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    Explanations

    averages or means in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases that refer to averages or statistical measurements

    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
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    Negative Logits
    ocaly
    -0.66
     skelet
    -0.65
    special
    -0.64
    ariat
    -0.63
    Shadow
    -0.62
     Moons
    -0.62
     Valkyrie
    -0.61
    lez
    -0.60
    zbollah
    -0.60
    fect
    -0.60
    POSITIVE LOGITS
     hourly
    0.83
     monthly
    0.70
     yearly
    0.70
    serving
    0.67
    netflix
    0.64
     expectancy
    0.63
     nightly
    0.63
     Fallon
    0.62
    json
    0.62
     msec
    0.60
    Activations Density 0.019%

    No Known Activations