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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. 4-RES-JB
    11. 10938
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    Explanations

    references to public schools and educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to public schools

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

    No Comments

    Negative Logits
    lihood
    -0.75
    SHIP
    -0.66
     Hive
    -0.65
     scratch
    -0.61
    sson
    -0.61
     streak
    -0.61
    neum
    -0.60
     sheer
    -0.60
    OPLE
    -0.59
     MLG
    -0.59
    POSITIVE LOGITS
    chool
    1.25
    hel
    0.93
    kids
    0.90
    esan
    0.89
    children
    0.86
    girls
    0.84
    masters
    0.84
    paces
    0.81
    cape
    0.81
    piracy
    0.79
    Activations Density 0.032%

    No Known Activations