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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. 6-RES-JB
    11. 20596
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    Explanations

    domain names

    oai_token-act-pair · gpt-3.5-turbo

    the presence of special characters or non-word tokens in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Accountability
    -1.14
     Own
    -0.92
     Blocks
    -0.91
     Disorder
    -0.91
     Clause
    -0.90
     Owners
    -0.89
     Characters
    -0.89
     Window
    -0.88
     Leader
    -0.86
     Content
    -0.85
    POSITIVE LOGITS
     academy
    0.75
     pod
    0.70
     commissions
    0.70
     united
    0.70
    ensis
    0.69
     tv
    0.67
     primates
    0.67
     classics
    0.67
     collector
    0.67
     cheek
    0.66
    Activations Density 0.440%

    No Known Activations