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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. 10-RES-JB
    11. 7889
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    Explanations

    specific phrases related to established procedures or regulations being in place

    oai_token-act-pair · gpt-3.5-turbo

    references to established policies or systems that are currently in effect

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     DRAG
    -0.72
    ourge
    -0.71
    etti
    -0.70
     Ging
    -0.67
    zzy
    -0.66
    gee
    -0.66
    ursday
    -0.66
    yssey
    -0.64
    anche
    -0.64
    lez
    -0.63
    POSITIVE LOGITS
     whereby
    0.86
     guaranteeing
    0.72
    alities
    0.71
     prohibiting
    0.71
    holders
    0.71
     preventing
    0.66
    bos
    0.66
     barring
    0.65
     verification
    0.62
    behind
    0.61
    Activations Density 0.034%

    No Known Activations