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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. 0-RES-JB
    11. 11586
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    references to various types of candy

    oai_token-act-pair · gpt-3.5-turbo

    references to candy

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RN
    -0.73
    Austral
    -0.71
    RT
    -0.69
    Trans
    -0.68
    rn
    -0.67
    WP
    -0.67
     Governments
    -0.67
     UE
    -0.66
    ioned
    -0.66
    Australian
    -0.65
    POSITIVE LOGITS
     candy
    3.70
     Candy
    2.76
     sweets
    1.89
     cand
    1.75
     chocolate
    1.55
     cookie
    1.49
     popcorn
    1.44
     snack
    1.42
     soda
    1.40
     snacks
    1.37
    Activations Density 0.014%

    No Known Activations