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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. 4-RES-JB
    11. 6388
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    Explanations

    hyphenated words with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    references to substandard conditions or components

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cassidy
    -0.71
     Vid
    -0.68
     dur
    -0.67
     Kris
    -0.66
     Tac
    -0.66
     Lumpur
    -0.66
     Loll
    -0.65
     Sanford
    -0.65
     Madd
    -0.64
     Led
    -0.64
    POSITIVE LOGITS
    dimensional
    1.16
    level
    1.08
    sized
    1.06
    specific
    1.06
    government
    1.06
    national
    1.05
    division
    1.04
    sub
    1.03
    pres
    1.03
    expression
    1.02
    Activations Density 0.101%

    No Known Activations