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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. 10-RES-JB
    11. 6913
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    Explanations

    numbers related to quantity or size

    oai_token-act-pair · gpt-3.5-turbo

    numbers and statistics related to populations and groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amount
    -0.68
    cycle
    -0.62
    enhagen
    -0.61
    eanor
    -0.61
    inventoryQuantity
    -0.60
     portion
    -0.60
    azo
    -0.60
    ighter
    -0.59
    pload
    -0.59
     SECTION
    -0.58
    POSITIVE LOGITS
    +.
    0.76
     consisting
    0.72
     titled
    0.69
    +,
    0.69
     apiece
    0.67
    ,—
    0.63
     comprising
    0.62
    ,-
    0.61
     dstg
    0.60
     men
    0.59
    Activations Density 0.120%

    No Known Activations