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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. 6-RES-JB
    6. 23256
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    INDEX
    Explanations

    adjectives or verbs related to change or transformation

    oai_token-act-pair · gpt-3.5-turbo

    phrases involving sequences, transitions, or relationships between events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    :[
    -0.83
    ortium
    -0.67
    ueller
    -0.66
    odore
    -0.56
     sho
    -0.55
     sacked
    -0.54
     Saban
    -0.54
     strugg
    -0.54
     forgiven
    -0.53
    urger
    -0.53
    POSITIVE LOGITS
     Kinnikuman
    0.79
    inks
    0.76
    tones
    0.75
     alike
    0.71
    URES
    0.70
    vals
    0.68
    wings
    0.67
    mes
    0.67
    ciation
    0.66
     guiActiveUnfocused
    0.66
    Activations Density 0.942%

    No Known Activations