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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. 1-RES-JB
    6. 23547
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    Explanations

    references to a specific abbreviation or acronym "PA9"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the abbreviation "PA" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    naire
    -0.88
    lings
    -0.84
    stic
    -0.74
    ãĤ¦
    -0.71
    self
    -0.68
    gregation
    -0.67
    ãĢ
    -0.67
    aries
    -0.67
    minded
    -0.67
    worms
    -0.67
    POSITIVE LOGITS
    PA
    1.14
     PA
    1.14
    itone
    0.95
    UL
    0.92
    IRED
    0.92
    WN
    0.89
    VA
    0.87
    EA
    0.84
    FU
    0.83
    VO
    0.82
    Activations Density 0.003%

    No Known Activations