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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. 14117
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    Explanations

    percentages or numerical values

    oai_token-act-pair · gpt-3.5-turbo

    references to statistical percentages

    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
     Tayyip
    -0.79
    isu
    -0.74
    ulus
    -0.71
    ergy
    -0.71
    士
    -0.70
    ÄŁ
    -0.70
    IRT
    -0.69
     Horizons
    -0.69
    uran
    -0.68
    Merit
    -0.67
    POSITIVE LOGITS
    pointer
    0.83
    point
    0.79
    pointers
    0.74
    assed
    0.73
    ttes
    0.71
    ttle
    0.71
     point
    0.71
     points
    0.68
     percentage
    0.67
     percentages
    0.66
    Activations Density 0.016%

    No Known Activations