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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. 12-RES-JB
    11. 4208
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    Explanations

    negative interactions or conflict between individuals

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    items or actions that result in negative consequences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Balanced
    -0.66
    tnc
    -0.66
    ffen
    -0.65
    AAA
    -0.65
    OY
    -0.63
    ukong
    -0.62
    utenant
    -0.61
    berus
    -0.59
    unct
    -0.59
    miah
    -0.59
    POSITIVE LOGITS
     culminating
    1.08
    often
    1.03
     often
    0.99
     invariably
    0.98
     sometimes
    0.94
    sometimes
    0.93
     risking
    0.92
     ruining
    0.90
     provoking
    0.90
     usually
    0.89
    Activations Density 0.382%

    No Known Activations