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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. 24224
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    Explanations

    words related to hospital wards or divisions

    oai_token-act-pair · gpt-3.5-turbo

    references to "wards" in various contexts

    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
    ãĥ¤
    -0.76
    ãĥĪ
    -0.73
     Hav
    -0.71
    UTH
    -0.70
    igslist
    -0.70
    ctory
    -0.69
    istine
    -0.69
    pheus
    -0.66
    anooga
    -0.64
    Bon
    -0.64
    POSITIVE LOGITS
    room
    1.08
     ward
    1.02
    robe
    1.01
    rooms
    0.92
    nton
    0.87
     wards
    0.87
    masters
    0.84
    lings
    0.82
    ring
    0.80
    stones
    0.76
    Activations Density 0.006%

    No Known Activations