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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. 9-RES-JB
    11. 11408
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    INDEX
    Explanations

    requests or instructions prompting action or engagement

    oai_token-act-pair · gpt-3.5-turbo

    phrases that encourage actions or suggest following instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    MpServer
    -0.82
    oub
    -0.77
    TPPStreamerBot
    -0.74
    iche
    -0.73
    bled
    -0.71
    onut
    -0.70
    ELD
    -0.69
    gery
    -0.66
    EStreamFrame
    -0.66
    lot
    -0.65
    POSITIVE LOGITS
     checking
    0.69
     clicking
    0.68
     your
    0.68
     patience
    0.67
     yourselves
    0.65
     beforehand
    0.64
     Patrol
    0.63
    rity
    0.63
     you
    0.62
     Shogun
    0.62
    Activations Density 0.043%

    No Known Activations