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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 11421
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    Explanations

    comparative adjectives ending in "-est" or "-er"

    oai_token-act-pair · gpt-3.5-turbo

    words that indicate various states or conditions

    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
    stab
    -0.78
    YN
    -0.72
    udeb
    -0.72
    PsyNetMessage
    -0.72
    agnar
    -0.71
    utonium
    -0.70
    aeper
    -0.70
    ONSORED
    -0.67
    abwe
    -0.66
    ubs
    -0.64
    POSITIVE LOGITS
    ness
    1.61
    nesses
    1.40
    ly
    1.35
    ity
    1.04
    est
    0.94
    itude
    0.92
    ities
    0.92
    liness
    0.89
    ments
    0.88
    lihood
    0.87
    Activations Density 0.249%

    No Known Activations