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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. 9-RES-JB
    11. 4711
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    Explanations

    references to screens or screens related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to "screen" or related visual media concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    doms
    -0.79
    ortium
    -0.77
    aternal
    -0.76
     Carnegie
    -0.64
    onomic
    -0.61
    shire
    -0.61
     plur
    -0.61
    ghan
    -0.60
    aternity
    -0.60
    vernment
    -0.59
    POSITIVE LOGITS
    plays
    1.34
    writers
    1.11
    writer
    1.09
    writing
    1.04
    grab
    1.01
    printed
    1.01
    caps
    0.97
     TVs
    0.92
    cheat
    0.87
    avers
    0.85
    Activations Density 0.034%

    No Known Activations