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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. 8-RES-JB
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    Explanations

    mentions of school-related terms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "school."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    leans
    -0.72
     heel
    -0.64
     Bots
    -0.62
    OPLE
    -0.62
    ioxide
    -0.61
    ACTED
    -0.61
     tame
    -0.59
     Hive
    -0.59
     timestamp
    -0.59
    neum
    -0.58
    POSITIVE LOGITS
    girls
    1.48
    children
    1.37
    girl
    1.26
    kids
    1.24
    boy
    1.21
    boys
    1.19
    master
    1.02
    house
    1.01
    masters
    1.01
    child
    0.99
    Activations Density 0.051%

    No Known Activations