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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. 17028
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    Explanations

    proper nouns, particularly names of individuals or locations

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals and specific terms related to entities 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
    encing
    -0.83
    encers
    -0.76
    ively
    -0.75
    isions
    -0.70
    iring
    -0.70
    apers
    -0.69
    ision
    -0.69
    iple
    -0.68
    ires
    -0.68
    arily
    -0.68
    POSITIVE LOGITS
    ishop
    0.84
    wana
    0.82
    keley
    0.81
    halla
    0.80
    hari
    0.79
    ruary
    0.75
    achelor
    0.75
    EGIN
    0.75
    reath
    0.74
    axter
    0.73
    Activations Density 0.130%

    No Known Activations