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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. 17768
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    Explanations

    words related to being prepared or ready for specific situations

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with readiness and preparation

    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
    AMA
    -0.78
    adish
    -0.69
    VERTISEMENT
    -0.65
    GBT
    -0.60
     Gems
    -0.57
     cluster
    -0.56
    aples
    -0.56
     subt
    -0.56
     Mer
    -0.54
    AGE
    -0.54
    POSITIVE LOGITS
     enough
    0.81
    ãĥ¼ãĤ¯
    0.72
     to
    0.72
    £ı
    0.71
    nesses
    0.69
    enough
    0.68
    bodied
    0.67
    expr
    0.65
     ta
    0.65
    terday
    0.64
    Activations Density 0.154%

    No Known Activations