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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. 11-RES-JB
    11. 4890
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    INDEX
    Explanations

    statistical information or survey results in text data

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating statistical measurements or prevalence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    umbn
    -0.70
    inventoryQuantity
    -0.64
    Synopsis
    -0.61
    Ü
    -0.61
    agate
    -0.61
    ensis
    -0.58
    ?????-
    -0.58
    ä
    -0.58
    swer
    -0.58
    swick
    -0.57
    POSITIVE LOGITS
     half
    1.27
     80
    1.06
     90
    1.04
     ninety
    1.02
     70
    1.00
     85
    1.00
     95
    0.99
     75
    0.96
     eighty
    0.96
     99
    0.94
    Activations Density 0.086%

    No Known Activations