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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. 14813
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    INDEX
    Explanations

    phrases indicating a significant amount or high degree of something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "Much."

    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
    emy
    -0.93
    İĭ
    -0.81
    EStream
    -0.79
    ivas
    -0.77
    ATURES
    -0.73
    agate
    -0.72
    swick
    -0.72
    idon
    -0.72
    abad
    -0.72
    emies
    -0.71
    POSITIVE LOGITS
     ado
    0.86
    body
    0.81
     else
    0.77
     interest
    0.73
     esteemed
    0.72
    NESS
    0.70
     simpler
    0.69
     emphasis
    0.67
     effort
    0.67
     speculation
    0.67
    Activations Density 0.040%

    No Known Activations