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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. 12558
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    Explanations

    words related to different sensory stimuli, such as touch, sight, or hearing

    oai_token-act-pair · gpt-3.5-turbo

    distinctive letter combinations or segments, possibly focusing on repetitive sounds or phonetic traits

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤŃ
    -0.82
    ãĤ´
    -0.73
    ãĥĨãĤ£
    -0.69
    人
    -0.67
     tremend
    -0.67
    ADRA
    -0.66
    ãĥª
    -0.64
     elig
    -0.64
    о
    -0.63
    ãĥĹ
    -0.62
    POSITIVE LOGITS
    bread
    1.00
    cakes
    0.91
    hound
    0.90
    worms
    0.88
    seed
    0.87
    cake
    0.84
    bones
    0.82
    ings
    0.82
    warm
    0.81
    shots
    0.81
    Activations Density 0.195%

    No Known Activations