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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. 7729
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    Explanations

    words related to individuals' names or identities

    oai_token-act-pair · gpt-3.5-turbo

    characters' names and proper nouns in the context of specific narratives or events

    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
    nown
    -0.67
    ãĤ¶
    -0.66
    ulhu
    -0.65
    lehem
    -0.64
    »Ĵ
    -0.63
    userc
    -0.62
    runtime
    -0.62
    taboola
    -0.60
    URA
    -0.60
    natureconservancy
    -0.60
    POSITIVE LOGITS
    backer
    0.99
    ordan
    0.76
     cuff
    0.73
     CTR
    0.72
    kefeller
    0.71
     flats
    0.70
    restling
    0.68
    earchers
    0.67
    kowski
    0.66
     McMaster
    0.66
    Activations Density 0.596%

    No Known Activations