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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23910
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    Explanations

    mentions of business entities with the abbreviation "AG" preceded by a number rating them based on relevance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the term "AG" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    phia
    -0.79
    phrine
    -0.72
    dates
    -0.70
    chron
    -0.68
    former
    -0.68
    cious
    -0.66
    perse
    -0.65
     stead
    -0.65
    pper
    -0.65
     Mub
    -0.65
    POSITIVE LOGITS
    ENCY
    1.11
    REE
    1.10
    EMENT
    1.04
    reement
    0.95
    ATE
    0.92
    GR
    0.90
    HHHH
    0.89
    ATES
    0.87
    ENC
    0.86
    rave
    0.85
    Activations Density 0.013%

    No Known Activations