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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. 8-RES-JB
    6. 18522
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    Explanations

    references to actions and abilities

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions and capabilities of subjects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    QB
    -0.68
    Border
    -0.68
    Road
    -0.66
     Avalon
    -0.66
    Nation
    -0.63
     Nirvana
    -0.63
     Cabin
    -0.62
    é¾
    -0.62
     Aval
    -0.62
    Track
    -0.60
    POSITIVE LOGITS
     nonetheless
    1.48
     nevertheless
    1.45
     certainly
    0.92
     anecd
    0.82
     occasionally
    0.81
    etheless
    0.77
     indirectly
    0.74
     anyway
    0.72
     suffice
    0.70
     inferred
    0.70
    Activations Density 0.475%

    No Known Activations