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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. 2-RES-JB
    11. 11100
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    Explanations

    keywords related to references or additional information in text

    oai_token-act-pair · gpt-3.5-turbo

    references or citations to other content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EStreamFrame
    -0.91
    cffffcc
    -0.80
    ascal
    -0.67
    operated
    -0.67
     suscept
    -0.66
     whistle
    -0.64
     determined
    -0.64
     proport
    -0.63
     disposal
    -0.62
     assignment
    -0.62
    POSITIVE LOGITS
    hee
    0.84
     Also
    0.83
     See
    0.79
    htaking
    0.75
    seeing
    0.74
    See
    0.73
    saw
    0.73
    WARD
    0.72
    lights
    0.72
    eworthy
    0.71
    Activations Density 0.028%

    No Known Activations