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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. 16007
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    INDEX
    Explanations

    adjectives related to improvement or intensification

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with improvement or enhancement

    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
    ships
    -0.81
    atre
    -0.73
    PLIED
    -0.72
    ices
    -0.72
    tips
    -0.72
    wered
    -0.71
    oos
    -0.71
    emi
    -0.71
    Scale
    -0.69
    VPN
    -0.69
    POSITIVE LOGITS
     versions
    0.95
     version
    0.84
     opportunity
    0.76
     scrutiny
    0.76
     depreciation
    0.74
     embodiment
    0.74
     edition
    0.74
     senses
    0.73
     immunity
    0.73
     efficiency
    0.73
    Activations Density 0.094%

    No Known Activations