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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. 0-RES-JB
    11. 15020
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    INDEX
    Explanations

    dates mentioned in the document

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the number 19

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •Embedding Space Digit Features

    No Comments

    Negative Logits
    tackle
    -0.77
    channelAvailability
    -0.76
    aminer
    -0.73
    ility
    -0.67
    Reviewed
    -0.64
    essors
    -0.63
    inventoryQuantity
    -0.61
    adata
    -0.60
    etting
    -0.58
    zbollah
    -0.58
    POSITIVE LOGITS
     19
    2.94
     21
    2.14
     18
    2.13
     17
    2.12
     23
    1.99
     22
    1.95
     29
    1.94
     20
    1.93
     16
    1.85
     26
    1.85
    Activations Density 0.021%

    No Known Activations