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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. 6369
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    Explanations

    technical terms and references

    oai_token-act-pair · gpt-3.5-turbo

    references to movies, films, and relevant media

    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
    actionDate
    -0.66
     periodic
    -0.61
    Joined
    -0.60
    soDeliveryDate
    -0.59
    locked
    -0.58
     customary
    -0.56
    ãĥĥãĤ¯
    -0.55
     Canaveral
    -0.55
    una
    -0.54
    ARA
    -0.53
    POSITIVE LOGITS
     proves
    1.31
     provides
    1.30
     shines
    1.29
     reminds
    1.27
     delivers
    1.27
     embodies
    1.25
     offers
    1.23
     brings
    1.21
     solves
    1.21
     demonstrates
    1.20
    Activations Density 0.642%

    No Known Activations