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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. 3-RES-JB
    11. 3090
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    Explanations

    references to events or scenarios happening in a classroom setting

    oai_token-act-pair · gpt-3.5-turbo

    references to classrooms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    alez
    -0.81
    doms
    -0.73
    omes
    -0.69
    berto
    -0.69
    oning
    -0.68
    ods
    -0.66
    onement
    -0.66
    atom
    -0.66
    olid
    -0.65
    odus
    -0.65
    POSITIVE LOGITS
     classroom
    0.93
     classrooms
    0.88
    room
    0.85
     Teachers
    0.80
     Corner
    0.75
    LAB
    0.73
    girls
    0.70
     Puzz
    0.70
     Teaching
    0.69
     curriculum
    0.69
    Activations Density 0.009%

    No Known Activations