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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. 13136
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    INDEX
    Explanations

    descriptions of individuals with various backgrounds and interests

    oai_token-act-pair · gpt-3.5-turbo

    names, places, and cultural references

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    plet
    -0.80
    NetMessage
    -0.71
    $.
    -0.66
     agre
    -0.63
    ebin
    -0.63
    Tokens
    -0.61
    rompt
    -0.60
    usercontent
    -0.60
    choes
    -0.60
    Phones
    -0.58
    POSITIVE LOGITS
     awaits
    0.81
     boasts
    0.70
     meanwhile
    0.69
     boasting
    0.66
    ,,,,,,,,
    0.63
     lies
    0.63
     however
    0.63
     (),
    0.63
     alike
    0.61
    minded
    0.61
    Activations Density 0.680%

    No Known Activations