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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. 10-RES-JB
    6. 18437
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    INDEX
    Explanations

    mentions of impact or consequences of certain events or actions

    oai_token-act-pair · gpt-3.5-turbo

    verbs indicating possession or existence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aram
    -0.63
     behold
    -0.63
     Discuss
    -0.62
    know
    -0.62
    abee
    -0.62
     Memor
    -0.62
     Refer
    -0.61
     Pair
    -0.61
     consult
    -0.60
     performing
    -0.60
    POSITIVE LOGITS
     resulted
    1.50
     been
    1.29
     coincided
    1.27
     caused
    1.24
     prompted
    1.22
     sparked
    1.15
     helped
    1.13
     ensured
    1.13
     led
    1.12
     yielded
    1.11
    Activations Density 0.151%

    No Known Activations