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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. 1-RES-JB
    11. 9001
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    words related to libraries and librarians

    oai_token-act-pair · gpt-3.5-turbo

    words related to libraries and librarians

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     mitigation
    -0.79
    corn
    -0.74
    chal
    -0.74
    mits
    -0.72
     Spice
    -0.65
    fixed
    -0.65
    pper
    -0.62
     quo
    -0.62
    noon
    -0.60
    than
    -0.60
    POSITIVE LOGITS
    ibr
    1.40
    ators
    0.89
    ilant
    0.86
    acion
    0.86
    aci
    0.85
    arians
    0.85
    alse
    0.85
    andise
    0.85
    acies
    0.84
    inx
    0.84
    Activations Density 0.010%

    No Known Activations