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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. 21570
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    Explanations

    phrases related to comparison, consequences, or outcomes

    oai_token-act-pair · gpt-3.5-turbo

    content related to cost implications or economical consequences

    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
    anka
    -0.73
    ossus
    -0.63
    alach
    -0.63
    osate
    -0.61
    usp
    -0.58
    any
    -0.58
    ature
    -0.57
    ãĤ´
    -0.56
    iqu
    -0.56
    stros
    -0.56
    POSITIVE LOGITS
     fewer
    1.71
     clearer
    1.68
     quicker
    1.65
     nicer
    1.61
     sharper
    1.61
     healthier
    1.57
     wiser
    1.57
     less
    1.57
     faster
    1.56
     shorter
    1.55
    Activations Density 0.742%

    No Known Activations