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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. 8-RES-JB
    11. 11459
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    INDEX
    Explanations

    mentions of computer screens and related terms

    oai_token-act-pair · gpt-3.5-turbo

    references to screens and screen-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ortium
    -0.78
    aternal
    -0.72
    doms
    -0.71
     Carnegie
    -0.70
    vernment
    -0.65
     plur
    -0.64
    currency
    -0.63
    ghan
    -0.63
    IGH
    -0.63
    onomic
    -0.63
    POSITIVE LOGITS
    plays
    1.33
    writers
    1.04
    writer
    1.03
    printed
    0.98
    writing
    0.96
    grab
    0.95
     TVs
    0.94
    caps
    0.94
    tops
    0.91
     screens
    0.88
    Activations Density 0.029%

    No Known Activations