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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. 225
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    INDEX
    Explanations

    number values in a specific range, likely related to percentages or statistics

    oai_token-act-pair · gpt-3.5-turbo

    repeated instances of a specific character or symbol

    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
     disadvant
    -0.89
    raints
    -0.83
     condem
    -0.78
     Vaugh
    -0.78
    enegger
    -0.76
     womb
    -0.73
     widening
    -0.70
     fundament
    -0.68
     apes
    -0.66
     neighb
    -0.66
    POSITIVE LOGITS
    vernment
    1.00
    uthor
    0.94
    ï¸ı
    0.92
    âĶĢâĶĢ
    0.89
    \":
    0.78
    ACP
    0.76
    âĸł
    0.75
    conom
    0.75
    °
    0.74
    ---------------
    0.74
    Activations Density 0.151%

    No Known Activations