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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. 10156
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    Explanations

    names or labels in a technical context or code snippets

    oai_token-act-pair · gpt-3.5-turbo

    references to names or identifiers in a dataset

    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
    Not in Any Lists

    No Comments

    Negative Logits
     bil
    -0.66
     thirds
    -0.63
     Corps
    -0.61
     flow
    -0.61
     hoops
    -0.60
     instructional
    -0.60
     determin
    -0.60
     concluded
    -0.59
     roy
    -0.59
    enza
    -0.59
    POSITIVE LOGITS
    name
    3.93
    names
    2.69
    Name
    2.40
    NAME
    2.14
     name
    2.08
     Name
    1.92
    named
    1.85
     NAME
    1.83
     names
    1.68
    Names
    1.67
    Activations Density 0.013%

    No Known Activations