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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. 7-RES-JB
    11. 21568
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    Explanations

    words related to cooking instructions involving heat and utensils

    oai_token-act-pair · gpt-3.5-turbo

    the end of a document or a significant break in text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     destro
    -0.68
     nostalg
    -0.61
    bet
    -0.61
     arrang
    -0.61
     vulner
    -0.61
    accompan
    -0.61
    Footnote
    -0.60
    berus
    -0.60
     alone
    -0.59
     somehow
    -0.59
    POSITIVE LOGITS
     utmost
    0.73
     Americas
    0.73
     foregoing
    0.66
     nutshell
    0.64
     Devices
    0.61
     planet
    0.61
    fml
    0.61
     Refugees
    0.60
     importance
    0.60
     highest
    0.60
    Activations Density 0.049%

    No Known Activations