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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. 17812
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    Explanations

    words related to notable figures (e.g., names of people)

    oai_token-act-pair · gpt-3.5-turbo

    Notable names or people mentioned in the text

    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
    iencies
    -0.76
    geries
    -0.72
    antine
    -0.63
     overlap
    -0.61
     locality
    -0.60
    orship
    -0.59
    isodes
    -0.59
    arial
    -0.59
     Binding
    -0.57
     parachute
    -0.57
    POSITIVE LOGITS
     replied
    1.30
     exclaimed
    1.24
     joked
    1.20
     said
    1.17
     tweeted
    1.11
     explained
    1.11
     remarked
    1.11
    âĢ
    1.06
     (@
    1.06
     told
    1.05
    Activations Density 0.185%

    No Known Activations