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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. 6-RES-JB
    11. 10757
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    Explanations

    adjectives related to evaluations or judgments

    oai_token-act-pair · gpt-3.5-turbo

    words associated with various forms of challenges or conflicts in society

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Blasio
    -0.56
     Wyr
    -0.55
     Helpful
    -0.55
     Rack
    -0.55
     Lank
    -0.54
    risome
    -0.50
    ridor
    -0.50
    ORN
    -0.50
     Kinnikuman
    -0.50
    INTON
    -0.50
    POSITIVE LOGITS
    ises
    0.73
    matically
    0.73
    fully
    0.70
    iets
    0.70
    ALLY
    0.70
    izes
    0.68
    heartedly
    0.68
     selves
    0.67
    iaries
    0.66
    lessly
    0.65
    Activations Density 0.575%

    No Known Activations