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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. 3-RES-JB
    6. 10819
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    Explanations

    references to the brand "Hyatt" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific entity or brand, possibly related to hospitality or hotel services

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    */(
    -0.89
    éĹĺ
    -0.83
    mint
    -0.80
    ãĤ´ãĥ³
    -0.77
    REDACTED
    -0.75
    tumblr
    -0.74
    ivity
    -0.74
    ional
    -0.70
     CLSID
    -0.69
    ++++++++++++++++
    -0.68
    POSITIVE LOGITS
    Hy
    1.03
    undai
    1.03
    giene
    1.02
    brids
    0.97
    rule
    0.90
     Hy
    0.89
    hy
    0.85
    brid
    0.83
    tymology
    0.81
    awei
    0.79
    Activations Density 0.013%

    No Known Activations