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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. 7105
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    Explanations

    names or terms related to famous people or characters

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names

    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
    ikuman
    -0.61
    akeru
    -0.58
    etheus
    -0.58
     Pwr
    -0.55
    arbon
    -0.55
    ishi
    -0.55
    illions
    -0.55
    oola
    -0.54
    ovie
    -0.53
    rative
    -0.53
    POSITIVE LOGITS
    aternity
    0.61
    heit
    0.56
    pert
    0.56
    hers
    0.55
    ngth
    0.54
    beard
    0.54
    clave
    0.53
    ascript
    0.53
    cko
    0.53
    pants
    0.52
    Activations Density 1.519%

    No Known Activations