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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. 14218
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    INDEX
    Explanations

    phrases related to behaviors or actions expressed in a specific manner

    oai_token-act-pair · gpt-3.5-turbo

    references to methods or styles of behavior

    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
    hemat
    -0.74
    rament
    -0.72
     Neighborhood
    -0.67
     STATS
    -0.63
    ammy
    -0.62
    mbuds
    -0.62
    minster
    -0.62
     Wink
    -0.62
    tek
    -0.62
     Barton
    -0.61
    POSITIVE LOGITS
    isms
    1.39
    ality
    0.86
    ism
    0.83
    othy
    0.79
    istic
    0.78
    ity
    0.75
    ical
    0.74
     dictated
    0.74
    abus
    0.74
    ically
    0.72
    Activations Density 0.027%

    No Known Activations