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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. 2-RES-JB
    11. 3917
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    Explanations

    phrases related to revealing or uncovering something, especially related to secrets, scandals, or truth

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "expose" and its variations, indicating a focus on accountability and revelation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aque
    -0.67
     captcha
    -0.67
    orders
    -0.65
     coordinate
    -0.65
    illard
    -0.61
    zyme
    -0.61
    colo
    -0.61
     merging
    -0.60
    tesy
    -0.59
     consult
    -0.58
    POSITIVE LOGITS
     exposing
    0.94
     exposes
    0.93
     Breach
    0.90
     expose
    0.83
    Versions
    0.78
    itud
    0.78
     Exposure
    0.76
     exposed
    0.74
    é¾
    0.71
    м
    0.71
    Activations Density 0.009%

    No Known Activations