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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. 7-RES-JB
    6. 2341
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    INDEX
    Explanations

    references to significant events or impactful statements

    oai_token-act-pair · gpt-3.5-turbo

    sentences or phrases ending with punctuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uers
    -0.78
    ön
    -0.68
    ascus
    -0.68
    RAW
    -0.65
    bra
    -0.65
    emonic
    -0.64
     listener
    -0.63
    enary
    -0.63
    imb
    -0.62
     cho
    -0.62
    POSITIVE LOGITS
     Whereas
    1.08
     Surely
    1.07
     But
    1.06
     Worse
    1.04
     Likewise
    1.03
     They
    1.00
     Then
    0.99
     Moreover
    0.99
     Granted
    0.99
     And
    0.98
    Activations Density 0.718%

    No Known Activations