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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. 20285
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    Explanations

    special characters, likely focusing on specific patterns or combinations

    oai_token-act-pair · gpt-3.5-turbo

    unusual or non-standard characters and symbols

    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
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    No Comments

    Negative Logits
     Crusher
    -0.76
    wagen
    -0.75
    swick
    -0.75
     Pension
    -0.73
    WARD
    -0.72
     Tid
    -0.71
     Rhodes
    -0.70
     Nikon
    -0.69
     Shed
    -0.68
     Bond
    -0.67
    POSITIVE LOGITS
    Ħ¢
    1.35
    ĵ
    1.33
    ł
    1.27
    Ĥ
    1.25
    Ħ
    1.23
    ŀ
    1.19
    Ĥª
    1.18
    ĥ
    1.15
    Į
    1.15
    ħ
    1.14
    Activations Density 0.009%

    No Known Activations