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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. 2-RES-JB
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    Explanations

    locations or geographical references, particularly related to the Hudson area

    oai_token-act-pair · gpt-3.5-turbo

    the repeated mention of the name "Hudson" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fully
    -0.77
    orius
    -0.76
    ISTER
    -0.76
    etimes
    -0.74
    IENT
    -0.72
    ional
    -0.72
    ebook
    -0.71
    book
    -0.69
    etime
    -0.68
    nz
    -0.68
    POSITIVE LOGITS
     Hudson
    1.07
     Yards
    1.03
     Strait
    0.76
    é¾įåĸļ士
    0.73
     Hawk
    0.72
     Moh
    0.72
     Crab
    0.72
     Squadron
    0.71
     Dolphin
    0.71
     Valley
    0.71
    Activations Density 0.007%

    No Known Activations