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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. 12-RES-JB
    11. 4682
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    Explanations

    numerical information relating to casualties or deaths in different scenarios

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    numerical statistics and quantifiable data points related to incidents or events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Adds
    -0.72
    opia
    -0.71
    feeding
    -0.61
    igslist
    -0.61
    ching
    -0.61
    medi
    -0.59
    lest
    -0.58
    Recomm
    -0.58
    king
    -0.57
     translating
    -0.57
    POSITIVE LOGITS
     were
    1.23
     people
    1.00
     weren
    0.96
     perished
    0.93
     died
    0.90
     are
    0.87
     have
    0.85
     persons
    0.84
    were
    0.83
     demonstrators
    0.83
    Activations Density 0.157%

    No Known Activations