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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. 19413
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to a variety of topics or items

    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
     Dull
    -0.66
    ataka
    -0.65
    cknowled
    -0.64
    jiang
    -0.63
    CHA
    -0.62
     bye
    -0.62
     Walls
    -0.62
    phies
    -0.62
    lesi
    -0.62
     Fei
    -0.61
    POSITIVE LOGITS
    ortment
    0.83
    ensical
    0.79
     range
    0.77
    range
    0.75
     ranges
    0.73
     ranging
    0.73
     variety
    0.70
     imaginable
    0.69
     encomp
    0.68
     breadth
    0.68
    Activations Density 0.044%

    No Known Activations