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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 11-RES-JB
    6. 17880
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    INDEX
    Explanations

    references to events or incidents with a negative outcome or impact

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    å§«
    -0.78
    \-
    -0.75
    stat
    -0.69
    anton
    -0.67
    advertising
    -0.65
    hops
    -0.63
    dale
    -0.63
    emed
    -0.61
    alus
    -0.60
    stellar
    -0.60
    POSITIVE LOGITS
     result
    1.47
     culmination
    1.43
     consequence
    1.13
     product
    1.10
     centerpiece
    1.05
     envy
    1.02
     impetus
    1.01
     embodiment
    1.00
     catalyst
    1.00
     outcome
    0.99
    Activations Density 0.148%

    No Known Activations