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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. 9-RES-JB
    6. 8575
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    Explanations

    phone number formats

    oai_token-act-pair · gpt-3.5-turbo

    numerical codes or identifiers, particularly those formatted with colons

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uer
    -0.80
     Lieutenant
    -0.74
     Reneg
    -0.74
     Gentleman
    -0.73
     Demon
    -0.70
    %%
    -0.69
    ¥ŀ
    -0.67
    Rated
    -0.65
     Viktor
    -0.64
     Rhod
    -0.63
    POSITIVE LOGITS
    7
    1.13
     7
    1.09
    8
    1.06
     8
    1.01
    9
    0.95
     6
    0.92
    6
    0.90
     9
    0.88
    718
    0.79
    709
    0.75
    Activations Density 0.364%

    No Known Activations