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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. 23068
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    Explanations

    references to educational institutions, particularly public schools and educational policies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of public schools

    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
    OPLE
    -0.68
     scratch
    -0.68
    lihood
    -0.66
     sheer
    -0.63
     tame
    -0.62
    neum
    -0.60
     Hive
    -0.58
     exhaustion
    -0.58
     dism
    -0.57
     leth
    -0.57
    POSITIVE LOGITS
    chool
    1.28
    kids
    0.99
    hel
    0.95
    children
    0.92
    paces
    0.90
    chwitz
    0.90
    cape
    0.89
    masters
    0.89
    girls
    0.89
    enium
    0.85
    Activations Density 0.027%

    No Known Activations