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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. 5-RES-JB
    6. 20050
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    Explanations

    terms related to breathing or respiratory issues

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "treat" indicating different contexts or usages

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Zimbabwe
    -0.68
    PLIC
    -0.67
     Tanzania
    -0.64
    OTA
    -0.63
    BIL
    -0.63
    BOX
    -0.63
     siph
    -0.62
     Scotia
    -0.60
     Laurel
    -0.59
     deleting
    -0.58
    POSITIVE LOGITS
    htaking
    1.22
    idon
    1.04
    ty
    1.02
    iful
    1.01
    eous
    0.98
    hing
    0.98
    hs
    0.97
    hes
    0.95
    sburg
    0.94
    terson
    0.94
    Activations Density 0.023%

    No Known Activations