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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. 2998
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    INDEX
    Explanations

    exaggerated and extreme statements or claims

    oai_token-act-pair · gpt-3.5-turbo

    terms that describe extreme irrationality or exaggerated claims

    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
    enfranch
    -0.90
    yer
    -0.84
    rien
    -0.76
    Reviewed
    -0.75
    oother
    -0.75
    builders
    -0.75
    ribution
    -0.72
    rounder
    -0.72
    gio
    -0.70
    oyal
    -0.69
    POSITIVE LOGITS
     proportions
    0.88
     lengths
    0.84
     amounts
    0.83
     asylum
    0.83
     absurdity
    0.81
    ishly
    0.80
    ly
    0.80
     nonsense
    0.79
     amount
    0.78
     coincidence
    0.77
    Activations Density 0.064%

    No Known Activations