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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. 2351
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    INDEX
    Explanations

    instances where attention is being paid or not being paid

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the concept of paying attention

    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
    yre
    -0.69
    Reloaded
    -0.67
    lua
    -0.64
    \\\\
    -0.62
    \/\/
    -0.61
    iHUD
    -0.60
    spl
    -0.56
    lyn
    -0.56
    \\\\\\\\
    -0.56
    rie
    -0.54
    POSITIVE LOGITS
     to
    0.98
     attent
    0.95
     attention
    0.75
     thereto
    0.72
    Listen
    0.67
     closely
    0.67
     whatsoever
    0.66
     when
    0.66
     towards
    0.65
     lest
    0.64
    Activations Density 0.053%

    No Known Activations