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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. 10667
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    Explanations

    adjectives related to distortion or abnormality

    oai_token-act-pair · gpt-3.5-turbo

    descriptors related to distortion and corruption

    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
    alty
    -0.90
    ciation
    -0.90
    ufact
    -0.79
    cially
    -0.77
    worthiness
    -0.73
    pletion
    -0.73
    cial
    -0.73
    chall
    -0.73
    ILA
    -0.72
    agement
    -0.71
    POSITIVE LOGITS
     twisted
    0.95
     twisting
    0.93
     twist
    0.92
     twists
    0.85
     Hollow
    0.78
     Twisted
    0.77
     lengths
    0.75
     interpretations
    0.71
     versions
    0.69
     intertw
    0.68
    Activations Density 0.013%

    No Known Activations