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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. 6-RES-JB
    11. 404
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    Explanations

    phrases related to comparison or measurement

    oai_token-act-pair · gpt-3.5-turbo

    references to abstract concepts and collective terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ynski
    -0.80
    uden
    -0.75
    cale
    -0.68
    uckland
    -0.67
    uctions
    -0.65
    hips
    -0.62
    ccording
    -0.62
    rower
    -0.59
    ossier
    -0.59
    nesday
    -0.59
    POSITIVE LOGITS
    lessly
    1.01
    busters
    0.92
    less
    0.88
    wise
    0.87
    ably
    0.86
    able
    0.83
    ishly
    0.79
    ically
    0.78
    breakers
    0.76
    ually
    0.72
    Activations Density 0.721%

    No Known Activations