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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. 14608
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    INDEX
    Explanations

    phrases related to tension and resolution

    oai_token-act-pair · gpt-3.5-turbo

    events related to medical situations or conditions

    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
    uca
    -0.73
    interstitial
    -0.72
    abies
    -0.68
     collide
    -0.67
    sten
    -0.64
    agus
    -0.64
    UME
    -0.62
     havoc
    -0.62
    mess
    -0.62
     ire
    -0.61
    POSITIVE LOGITS
    albeit
    0.90
     congr
    0.89
     albeit
    0.85
    But
    0.81
    but
    0.80
     BUT
    0.78
    However
    0.77
     applaud
    0.75
    Except
    0.75
     but
    0.75
    Activations Density 1.113%

    No Known Activations