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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. 9-RES-JB
    11. 9871
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    Explanations

    phrases related to negative or alarming situations

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with unsettling or alarming events and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    á
    -0.81
    hement
    -0.78
    arten
    -0.77
    uay
    -0.77
    onso
    -0.76
    hips
    -0.73
    pring
    -0.72
    glas
    -0.71
     Router
    -0.71
     oun
    -0.70
    POSITIVE LOGITS
    ly
    0.97
    omic
    0.91
     revelations
    0.89
     Revelations
    0.87
     occurrences
    0.87
    ingly
    0.86
     trend
    0.85
     Trend
    0.84
     behaviour
    0.83
     similarities
    0.83
    Activations Density 0.119%

    No Known Activations