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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. 14126
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    INDEX
    Explanations

    the word "is" at a high activation level

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize a common occurrence or established fact

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    istries
    -0.88
     Clarks
    -0.66
     Dragons
    -0.65
     Tacoma
    -0.63
    {"
    -0.63
     Nash
    -0.63
     vouchers
    -0.61
     Playoff
    -0.61
     Pistons
    -0.59
    eering
    -0.59
    POSITIVE LOGITS
     evidenced
    1.10
     customary
    0.91
     usual
    0.84
     evident
    0.82
     plaus
    0.76
    fits
    0.73
    fit
    0.71
    ĺħ
    0.70
    CLASSIFIED
    0.70
     presently
    0.69
    Activations Density 0.030%

    No Known Activations