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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. 863
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    INDEX
    Explanations

    structured data formats with specific values or measurements

    oai_token-act-pair · gpt-3.5-turbo

    numerical data and metrics related to various statistics

    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
     subsequ
    -0.75
     restraint
    -0.72
     ampl
    -0.71
    inventoryQuantity
    -0.69
     behaviour
    -0.67
     behav
    -0.67
     tremend
    -0.67
     dilig
    -0.66
     encount
    -0.66
    uve
    -0.65
    POSITIVE LOGITS
     None
    1.41
     Approximately
    1.39
     TBD
    1.38
     Unknown
    1.36
     TBA
    1.29
     Various
    1.15
     Currently
    1.15
     About
    1.12
     Available
    1.10
     ???
    1.03
    Activations Density 0.094%

    No Known Activations