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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. 1-RES-JB
    11. 14484
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    Explanations

    specific mentions of geographical locations or their corresponding postal abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the Veterans Administration

    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
    cold
    -0.77
    lins
    -0.76
    wcsstore
    -0.76
    pins
    -0.74
    cook
    -0.72
    court
    -0.70
    immer
    -0.69
    bread
    -0.68
    tons
    -0.67
    */(
    -0.67
    POSITIVE LOGITS
    VA
    1.31
    Va
    0.92
    BIL
    0.92
    ULT
    0.86
    BILITY
    0.84
    ULTS
    0.84
    ascular
    0.80
    ascus
    0.80
    alkyrie
    0.79
    imation
    0.78
    Activations Density 0.007%

    No Known Activations