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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. 9-RES-JB
    11. 3231
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    Explanations

    words related to high levels of intensity or importance

    oai_token-act-pair · gpt-3.5-turbo

    the occurrence of the letter combinations and syllables in words

    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
     Lumpur
    -0.68
    nown
    -0.65
    emouth
    -0.62
     unwitting
    -0.61
    lehem
    -0.61
    bilt
    -0.57
     brightest
    -0.57
     satisfactory
    -0.56
    EStream
    -0.56
     IMAGES
    -0.56
    POSITIVE LOGITS
    phia
    0.87
    oxide
    0.86
    andowski
    0.79
    ativity
    0.76
    ics
    0.73
    illance
    0.72
    uala
    0.72
    mia
    0.71
    osate
    0.71
    stic
    0.70
    Activations Density 0.443%

    No Known Activations