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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. 6-RES-JB
    11. 20664
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    Explanations

    terms related to educational institutions, particularly focusing on aspects related to discipline, administration, and contentious issues within schools

    oai_token-act-pair · gpt-3.5-turbo

    references to schools or educational institutions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.72
     tame
    -0.72
    ACTED
    -0.71
    leans
    -0.70
    OPLE
    -0.70
    \\\\
    -0.68
     Bots
    -0.64
    neum
    -0.62
     timestamp
    -0.61
    vernment
    -0.59
    POSITIVE LOGITS
    girls
    1.25
    children
    1.19
    girl
    1.08
    kids
    1.07
    boy
    1.07
    boys
    1.02
    esan
    0.97
    master
    0.95
    masters
    0.92
    grounds
    0.91
    Activations Density 0.047%

    No Known Activations