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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. 5-RES-JB
    6. 13204
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    INDEX
    Explanations

    phrases related to comparisons and levels

    oai_token-act-pair · gpt-3.5-turbo

    adjectives and descriptors indicating scale or intensity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Learns
    -0.63
    ONEY
    -0.59
    KEY
    -0.57
     Wilde
    -0.55
     Kills
    -0.55
     Trials
    -0.55
     Officers
    -0.54
     Hernandez
    -0.53
     Spa
    -0.53
     Auth
    -0.52
    POSITIVE LOGITS
    tenance
    1.20
    terday
    1.04
    lihood
    1.00
    etheless
    0.84
    ãĤ´ãĥ³
    0.79
    theless
    0.76
    usterity
    0.75
    /-
    0.74
    itarian
    0.73
    itored
    0.73
    Activations Density 0.232%

    No Known Activations