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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 4014
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    Explanations

    phrases or words related to identification, especially related to crime, suspects, and personal identification

    oai_token-act-pair · gpt-3.5-turbo

    references to identification and accountability in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     overtake
    -0.75
    adder
    -0.72
     brim
    -0.69
     brainstorm
    -0.68
     mull
    -0.68
    issance
    -0.68
     rounds
    -0.67
     paved
    -0.67
     upkeep
    -0.67
     prosper
    -0.67
    POSITIVE LOGITS
     Cosponsors
    0.78
     è£ıè
    0.75
     Individuals
    0.74
    imilar
    0.73
     specific
    0.71
    ById
    0.69
     perpetrators
    0.69
    vantage
    0.68
    Cause
    0.66
    Role
    0.66
    Activations Density 0.302%

    No Known Activations