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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. 2585
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    INDEX
    Explanations

    negative adjectives or phrases related to substances and behaviors

    oai_token-act-pair · gpt-3.5-turbo

    phrases and terms related to culinary experiences and food descriptions

    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
     Ud
    -0.78
     HH
    -0.77
     Discipline
    -0.76
     Lanka
    -0.71
     Indigo
    -0.71
     Fiscal
    -0.70
     Meadows
    -0.70
     ICC
    -0.69
     Expend
    -0.68
     KP
    -0.68
    POSITIVE LOGITS
    style
    1.34
    inspired
    1.33
    themed
    1.33
    based
    1.24
    esque
    1.24
    fuel
    1.20
    like
    1.14
    shaped
    1.12
    filled
    1.12
    driven
    1.12
    Activations Density 0.141%

    No Known Activations