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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. 16315
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    Explanations

    references to classroom-related activities and events

    oai_token-act-pair · gpt-3.5-turbo

    references to classrooms and related educational settings

    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
    ivot
    -0.74
    lust
    -0.69
    odus
    -0.68
    OD
    -0.66
    alez
    -0.66
    bis
    -0.65
    ods
    -0.64
    don
    -0.63
    berto
    -0.62
    omes
    -0.61
    POSITIVE LOGITS
     classroom
    1.09
     classrooms
    0.97
    room
    0.79
    ij士
    0.77
     Teachers
    0.76
    inary
    0.75
     Puzz
    0.74
     curriculum
    0.74
    LAB
    0.74
     teacher
    0.74
    Activations Density 0.005%

    No Known Activations