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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. 8711
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    Explanations

    the word "a"

    oai_token-act-pair · gpt-3.5-turbo

    the article "a" in various contexts

    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
    Own
    -0.75
    agents
    -0.74
    Attempts
    -0.71
    words
    -0.70
    ¶
    -0.70
    bugs
    -0.68
    Ord
    -0.67
    acid
    -0.67
    Init
    -0.67
    evidence
    -0.66
    POSITIVE LOGITS
     handful
    1.22
     lot
    1.10
     consequ
    1.08
     bunch
    1.08
     slew
    1.06
     plethora
    1.05
    cknowled
    1.04
     few
    1.02
     corresponding
    1.01
     couple
    0.99
    Activations Density 0.127%

    No Known Activations