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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. 9-RES-JB
    6. 21080
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    Explanations

    words related to enjoyable experiences or activities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "fun" in various contexts

    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
    ainer
    -0.70
    Availability
    -0.67
    obook
    -0.67
    ignt
    -0.63
     Centauri
    -0.62
    idate
    -0.62
    acid
    -0.62
     Lama
    -0.62
    Error
    -0.61
    士
    -0.60
    POSITIVE LOGITS
    nels
    1.71
    nell
    1.28
    gal
    1.19
    nel
    1.17
    icular
    0.99
    ctory
    0.94
    pmwiki
    0.92
    ctors
    0.91
    ctor
    0.90
    eral
    0.85
    Activations Density 0.053%

    No Known Activations