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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. 11-RES-JB
    11. 14184
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    Explanations

    statements or quotes

    oai_token-act-pair · gpt-3.5-turbo

    sentences that introduce or cite direct quotations and statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     piping
    -0.58
     manif
    -0.58
    amba
    -0.56
     grease
    -0.56
    escent
    -0.56
     ensu
    -0.55
     edges
    -0.54
    lled
    -0.53
    gered
    -0.51
    rika
    -0.50
    POSITIVE LOGITS
     "âĢ¦
    1.46
     "[
    1.43
     "...
    1.38
     "'
    1.36
    ↵
    1.21
     "(
    1.19
     "
    1.18
     '[
    1.18
     ""
    1.15
     "@
    1.13
    Activations Density 0.081%

    No Known Activations