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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. 11-RES-JB
    11. 881
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    Explanations

    words related to frames, such as frame rates, framing an object, or frame-related technical terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to video frame rates and frames in visual media

    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
    inav
    -0.78
    ising
    -0.74
    ities
    -0.73
    ise
    -0.70
     Kingdoms
    -0.70
    IUM
    -0.69
    iant
    -0.69
    iance
    -0.68
    icably
    -0.68
    BAT
    -0.68
    POSITIVE LOGITS
    buffer
    1.34
    buff
    1.01
    Rate
    0.98
    border
    0.95
    builder
    0.81
    hog
    0.81
    perfect
    0.80
    erate
    0.80
    buster
    0.78
     rate
    0.77
    Activations Density 0.073%

    No Known Activations