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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. 20832
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    Explanations

    words related to medical facilities or institutions

    oai_token-act-pair · gpt-3.5-turbo

    references to hospitals

    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
    uten
    -0.65
     Ãĸ
    -0.61
     Stronghold
    -0.60
    ozy
    -0.59
    tl
    -0.58
     Rasmussen
    -0.57
    FLAG
    -0.56
    Det
    -0.55
    owder
    -0.55
    ×Ķ
    -0.55
    POSITIVE LOGITS
    itals
    1.00
    chool
    0.90
    ilitating
    0.84
    alse
    0.82
    amacare
    0.79
    maid
    0.79
     traged
    0.78
     pharmacies
    0.78
     hospitals
    0.76
    irtual
    0.76
    Activations Density 0.014%

    No Known Activations