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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. 10-RES-JB
    11. 16358
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    Explanations

    references to screens or screen-related activities

    oai_token-act-pair · gpt-3.5-turbo

    references to screens or screen-related content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aternal
    -0.81
    doms
    -0.76
    ortium
    -0.71
    vernment
    -0.67
    istani
    -0.66
    ghan
    -0.65
     Carnegie
    -0.64
    shire
    -0.64
    akeru
    -0.62
    lesh
    -0.62
    POSITIVE LOGITS
    plays
    1.31
    writer
    1.12
    writers
    1.12
    grab
    1.07
    caps
    1.06
    writing
    1.06
    printed
    1.05
    avers
    1.00
    aver
    0.97
    tops
    0.90
    Activations Density 0.023%

    No Known Activations