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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. 7443
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    Explanations

    double-barred C character sequences

    oai_token-act-pair · gpt-3.5-turbo

    sections of text with numerical values or statistical data

    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
    heit
    -0.94
    boro
    -0.79
    ospons
    -0.75
    ounce
    -0.69
    reetings
    -0.68
    ibi
    -0.67
    abouts
    -0.66
    kees
    -0.64
    ardless
    -0.64
    zona
    -0.62
    POSITIVE LOGITS
    Scroll
    0.92
    However
    0.88
    Shape
    0.87
    Labour
    0.85
    Asked
    0.72
     Trafford
    0.72
    Meanwhile
    0.71
    Britain
    0.71
     Labour
    0.70
     scrut
    0.70
    Activations Density 0.398%

    No Known Activations