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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. 9-RES-JB
    11. 20255
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    Explanations

    phrases related to medical procedures or conditions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to veterinary medicine and animal care

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     contrad
    -0.76
     Kits
    -0.73
     descent
    -0.67
     breaths
    -0.67
     mast
    -0.66
     Strikes
    -0.66
     obsc
    -0.66
     playbook
    -0.65
     penetration
    -0.65
     chang
    -0.65
    POSITIVE LOGITS
    arians
    1.17
    illation
    1.12
    ained
    1.10
    ille
    1.05
    itable
    1.05
    ILLE
    1.05
    itals
    1.01
    ellar
    1.00
    aband
    1.00
    inx
    0.99
    Activations Density 0.145%

    No Known Activations