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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. 6132
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    Explanations

    phrases related to keeping things in operation or maintaining a certain state

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to safety and maintaining stability

    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
    IZE
    -0.69
    Ĥİ
    -0.67
    INO
    -0.66
    ELY
    -0.66
     Result
    -0.63
    ACE
    -0.63
    LER
    -0.63
    Aren
    -0.62
    lot
    -0.62
    ++++++++++++++++
    -0.62
    POSITIVE LOGITS
    clud
    0.81
     indefinitely
    0.79
     intact
    0.73
     afloat
    0.70
     secure
    0.68
    enged
    0.67
     steady
    0.66
     suspense
    0.65
     ashore
    0.65
     pursu
    0.63
    Activations Density 0.133%

    No Known Activations