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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. 4-RES-JB
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    Explanations

    mentions of the word "school"

    oai_token-act-pair · gpt-3.5-turbo

    references to schools or education-related concepts

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

    No Comments

    Negative Logits
    DragonMagazine
    -0.77
    Guard
    -0.68
     Pearce
    -0.65
    brance
    -0.65
    Metal
    -0.64
    DEN
    -0.64
     Gemini
    -0.64
    ACTED
    -0.64
     deprived
    -0.62
    ORED
    -0.62
    POSITIVE LOGITS
    izoph
    0.96
     sch
    0.94
    neys
    0.81
    warts
    0.80
    utz
    0.79
    intosh
    0.77
    unk
    0.77
    ame
    0.76
    thal
    0.75
    ocobo
    0.75
    Activations Density 0.004%

    No Known Activations