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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 9-RES-JB
    11. 24090
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    INDEX
    Explanations

    phrases related to being supported by evidence or reasoning

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate a foundation or reasoning behind claims or beliefs

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    apes
    -0.70
    adobe
    -0.69
    antha
    -0.65
    mouth
    -0.63
     Appears
    -0.62
    named
    -0.61
     Mouth
    -0.61
    ese
    -0.61
    married
    -0.60
    ESE
    -0.59
    POSITIVE LOGITS
     loosely
    1.10
     solely
    1.02
     upon
    1.01
     entirely
    0.92
     squarely
    0.90
     purely
    0.89
     principally
    0.85
     largely
    0.84
     primarily
    0.83
    ument
    0.80
    Activations Density 0.074%

    No Known Activations