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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. 9-RES-JB
    6. 9587
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    Explanations

    references to the term "Wolf"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "Wolf" and its variations, indicating a focus on that specific subject or character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bably
    -0.72
    nces
    -0.71
    thritis
    -0.70
    acists
    -0.70
     seiz
    -0.70
     fuse
    -0.67
    encies
    -0.66
     contrace
    -0.66
     quo
    -0.62
    ITY
    -0.61
    POSITIVE LOGITS
    enstein
    1.36
    sburg
    1.33
    hound
    1.27
    gang
    1.07
    pack
    1.07
    ram
    1.06
    owitz
    1.03
    endor
    1.01
    rider
    0.95
    bats
    0.93
    Activations Density 0.036%

    No Known Activations