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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. 9-RES-JB
    11. 4906
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    Explanations

    scientific or technical terms related to skills, achievements, or goals

    oai_token-act-pair · gpt-3.5-turbo

    nouns and topics related to abilities, goals, and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    asus
    -0.62
     Kov
    -0.60
     Shooter
    -0.59
     Tycoon
    -0.57
    Args
    -0.55
     Coat
    -0.54
     unanim
    -0.54
     hears
    -0.53
    hawks
    -0.53
    helm
    -0.52
    POSITIVE LOGITS
    heet
    1.25
    mith
    1.21
    cale
    1.21
    cape
    1.19
    paces
    1.15
    hare
    1.14
    pring
    1.12
    pace
    1.10
    creen
    1.10
    peed
    1.09
    Activations Density 0.475%

    No Known Activations