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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. 840
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    Explanations

    adjectives describing the status or qualities of something

    oai_token-act-pair · gpt-3.5-turbo

    statements about the state or quality of a show or game

    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
    umeric
    -0.71
    ite
    -0.68
    ril
    -0.63
    soever
    -0.63
    chel
    -0.62
     Ago
    -0.61
    conn
    -0.61
    idian
    -0.60
    CN
    -0.60
    ordinary
    -0.58
    POSITIVE LOGITS
     itself
    0.94
     reboot
    0.77
     operated
    0.71
     advertised
    0.71
    yrinth
    0.70
     undergone
    0.70
     adjourn
    0.67
     renamed
    0.67
     discontinued
    0.66
    runners
    0.66
    Activations Density 0.507%

    No Known Activations