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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 19494
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    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    names of people and their associations in various contexts

    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
     chefs
    -0.61
     flavours
    -0.57
     uncont
    -0.55
     petroleum
    -0.55
     Citiz
    -0.54
     Urug
    -0.54
    ORGE
    -0.53
     tasting
    -0.53
     announ
    -0.52
     Yugoslav
    -0.52
    POSITIVE LOGITS
    ãĤ¦ãĤ¹
    0.69
     guiActiveUn
    0.66
    ionage
    0.62
     Telescope
    0.62
    ollower
    0.62
    nown
    0.62
    veyard
    0.61
    ./
    0.60
    amation
    0.59
    orah
    0.59
    Activations Density 0.384%

    No Known Activations