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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. 1-RES-JB
    11. 7537
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    Explanations

    references to schools or education

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the prefix "sch," which likely indicates a focus on educational contexts or terminology

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DragonMagazine
    -0.74
     Grateful
    -0.69
    ACTED
    -0.69
    LECT
    -0.69
    efeated
    -0.67
    EXP
    -0.67
     deprived
    -0.65
    ORED
    -0.63
     censored
    -0.62
    DEN
    -0.62
    POSITIVE LOGITS
    izoph
    1.22
     sch
    1.07
     shenan
    0.94
    warts
    0.87
    thal
    0.83
    afer
    0.80
    utz
    0.79
    ãĤ©
    0.78
    acht
    0.77
     Stability
    0.77
    Activations Density 0.004%

    No Known Activations