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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. 1-RES-JB
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    INDEX
    Explanations

    instances of the word "che" and related words

    oai_token-act-pair · gpt-3.5-turbo

    references to cheese-related items or dishes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Archdemon
    -0.82
    DragonMagazine
    -0.81
     Kirin
    -0.74
     Defenders
    -0.74
    IST
    -0.71
    Brand
    -0.69
    LAN
    -0.69
    Reviewer
    -0.67
    ECT
    -0.67
     ANG
    -0.67
    POSITIVE LOGITS
     che
    1.09
    chet
    0.95
    bags
    0.89
    apeake
    0.87
    arest
    0.86
    tto
    0.82
    roll
    0.81
    bag
    0.81
    rolled
    0.79
    che
    0.79
    Activations Density 0.004%

    No Known Activations