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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. 4-RES-JB
    11. 9145
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    Explanations

    words related to structures or components of frames

    oai_token-act-pair · gpt-3.5-turbo

    references to frames in a technical context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    inse
    -0.80
    icably
    -0.79
    IUM
    -0.75
    withstanding
    -0.74
    ulla
    -0.73
    zai
    -0.72
    iant
    -0.71
    iance
    -0.71
    iott
    -0.71
    BAT
    -0.69
    POSITIVE LOGITS
    buffer
    1.10
     frames
    0.97
    border
    0.92
     Frames
    0.88
     frame
    0.88
    Frames
    0.82
     Frame
    0.81
    Rate
    0.80
    buff
    0.79
    frames
    0.77
    Activations Density 0.012%

    No Known Activations