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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. 7-RES-JB
    11. 7434
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Harden
    -0.65
     Sinai
    -0.64
     Surprise
    -0.62
     Rath
    -0.62
     Athletic
    -0.61
     Arpaio
    -0.61
     Rosenberg
    -0.61
     Parenthood
    -0.61
     Rodgers
    -0.60
     Banks
    -0.60
    POSITIVE LOGITS
    /)
    1.14
    /,
    1.10
    /.
    1.07
    /?
    1.07
    /#
    1.03
    /_
    0.95
    file
    0.87
    _
    0.87
    detail
    0.86
    uments
    0.85
    Activations Density 0.070%

    No Known Activations