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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. 4-RES-JB
    11. 10394
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    Explanations

    quotations within text

    oai_token-act-pair · gpt-3.5-turbo

    quoted speech or dialogue

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

    No Comments

    Negative Logits
     favor
    -0.79
     rumored
    -0.77
     honors
    -0.75
     livestream
    -0.74
     catalog
    -0.72
     grades
    -0.69
     signaling
    -0.69
     enroll
    -0.68
     Lamar
    -0.67
     midterm
    -0.66
    POSITIVE LOGITS
    We
    1.07
    Firstly
    1.06
    Interest
    1.01
    There
    0.97
    BBC
    0.96
    It
    0.96
    Our
    0.94
    Obviously
    0.94
    Certainly
    0.94
    Therefore
    0.94
    Activations Density 0.119%

    No Known Activations