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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. 3-RES-JB
    11. 15391
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    Explanations

    phrases related to involvement or participation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to user engagement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     surviving
    -0.70
    printed
    -0.69
    aic
    -0.62
     unexplained
    -0.62
     lethal
    -0.61
    ological
    -0.61
    pat
    -0.58
     Proud
    -0.58
     Sabha
    -0.57
    kowski
    -0.57
    POSITIVE LOGITS
     engagement
    1.19
    eering
    0.93
     engagements
    0.85
    agement
    0.85
    naire
    0.85
    uality
    0.83
    eers
    0.79
     engaged
    0.79
    ertodd
    0.78
    itures
    0.77
    Activations Density 0.007%

    No Known Activations