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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. 169
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    websites or network-related terms

    oai_token-act-pair · gpt-3.5-turbo

    the term "net" across various contexts and usages

    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
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    Negative Logits
     heck
    -0.65
     Huh
    -0.65
    =-=-=-=-
    -0.64
     unic
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     Heck
    -0.61
    HH
    -0.60
     defe
    -0.60
     Barcl
    -0.59
     DRAG
    -0.59
    âĺħâĺħ
    -0.58
    POSITIVE LOGITS
    anyahu
    1.36
    izen
    1.28
    izens
    1.23
    sov
    1.14
    works
    0.95
    tering
    0.93
    working
    0.93
    aji
    0.92
    WORK
    0.90
    rw
    0.88
    Activations Density 0.008%

    No Known Activations