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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. 7-RES-JB
    11. 8903
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    Explanations

    instances of calls for help or action

    oai_token-act-pair · gpt-3.5-turbo

    references to calling the police or emergency services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     consumed
    -0.72
     âĶľâĶĢâĶĢ
    -0.70
     satisfies
    -0.65
     distingu
    -0.64
    Posted
    -0.63
    abal
    -0.62
     absorbs
    -0.62
    bourg
    -0.61
     earns
    -0.60
     molded
    -0.59
    POSITIVE LOGITS
     bluff
    1.17
     hotline
    1.14
     kettle
    0.73
    icide
    0.69
    ãĥ¼ãĥ³
    0.69
    ilee
    0.68
     911
    0.66
    mbuds
    0.66
     Duty
    0.66
     timeout
    0.65
    Activations Density 0.210%

    No Known Activations