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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. 6258
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    Explanations

    phrases related to ideas and concepts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of ideas and concepts

    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
    aths
    -0.70
    pex
    -0.68
    administ
    -0.68
    don
    -0.67
    operator
    -0.66
     Governors
    -0.65
    lake
    -0.65
    san
    -0.65
    ORD
    -0.64
    emale
    -0.64
    POSITIVE LOGITS
     hatched
    0.89
     ideas
    0.88
    ually
    0.88
     Ideas
    0.86
     idea
    0.84
     brainstorm
    0.84
     floated
    0.82
     provoking
    0.81
     sugg
    0.76
    vec
    0.73
    Activations Density 0.046%

    No Known Activations