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    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. 18913
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    Explanations

    words related to toast, especially in the context of food and recipes

    oai_token-act-pair · gpt-3.5-turbo

    references to toasted bread and roasted items in food 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
    otiation
    -0.89
    senal
    -0.77
    pointers
    -0.75
    hov
    -0.72
    pheus
    -0.72
    andro
    -0.70
    Streamer
    -0.68
    parse
    -0.67
    maxwell
    -0.67
    gap
    -0.67
    POSITIVE LOGITS
    enance
    0.81
     Remastered
    0.75
    asting
    0.72
    ments
    0.71
    ~~~~
    0.69
    eful
    0.69
     Seym
    0.69
    ebook
    0.68
    velt
    0.65
     Lans
    0.64
    Activations Density 0.184%

    No Known Activations