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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. 4-RES-JB
    11. 9
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    INDEX
    Explanations

    the word "conventional" or its variations

    oai_token-act-pair · gpt-3.5-turbo

    references to conventionality or traditional practices

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

    No Comments

    Negative Logits
    gur
    -0.83
    hop
    -0.75
    oning
    -0.74
    oran
    -0.72
    olulu
    -0.72
    hoff
    -0.70
    hner
    -0.69
    hov
    -0.68
     Wanted
    -0.68
    haw
    -0.67
    POSITIVE LOGITS
     wisdom
    1.10
     conventional
    0.88
    ventional
    0.88
    etheless
    0.87
    ization
    0.86
    izations
    0.80
    arily
    0.80
    ised
    0.79
    isation
    0.77
    idad
    0.76
    Activations Density 0.014%

    No Known Activations