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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. 7-RES-JB
    6. 4665
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    Explanations

    words related to electronic devices or technology specifically in the context of reviews or evaluations

    oai_token-act-pair · gpt-3.5-turbo

    names of specific products or devices

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    imeters
    -0.67
    scrib
    -0.67
    weather
    -0.66
    cmp
    -0.63
    paren
    -0.63
    ¶ħ
    -0.61
    é¾įå¥ij士
    -0.61
    mir
    -0.59
    ij士
    -0.59
     Glas
    -0.59
    POSITIVE LOGITS
     itself
    0.92
     moniker
    0.84
     bandwagon
    0.81
     Awakens
    0.80
     logo
    0.77
    ariat
    0.72
     Implementation
    0.72
    mma
    0.72
     salute
    0.71
     enclosure
    0.70
    Activations Density 0.280%

    No Known Activations