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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. 676
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    INDEX
    Explanations

    phrases related to planning, organization, and management

    oai_token-act-pair · gpt-3.5-turbo

    discussions about mechanisms for control and verification

    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
    ãĤ´
    -0.65
     Bare
    -0.57
     Released
    -0.56
    uton
    -0.54
     famed
    -0.54
     Few
    -0.54
     eagerly
    -0.53
     Prompt
    -0.51
    ãĤ´ãĥ³
    -0.51
     Summon
    -0.50
    POSITIVE LOGITS
     [
    1.12
     somebody
    0.97
     ['
    0.93
     â̦"
    0.91
     incent
    0.91
     mathemat
    0.91
     gonna
    0.86
     uh
    0.86
    )."
    0.86
     ..."
    0.85
    Activations Density 1.699%

    No Known Activations