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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. 0-RES-JB
    11. 9836
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    Explanations

    phrases related to technology companies

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific technology companies and terms related to job positions or roles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thrill
    -0.67
     Apost
    -0.67
     grap
    -0.66
     boom
    -0.65
     sermon
    -0.63
     Trap
    -0.62
    ============
    -0.62
     Renew
    -0.61
     Overs
    -0.61
     swoop
    -0.60
    POSITIVE LOGITS
    conn
    1.94
    istant
    1.78
     Technologies
    1.39
    istance
    1.38
    represented
    1.35
    oci
    1.33
    ociation
    1.24
    common
    1.17
    chel
    1.17
     scarce
    1.13
    Activations Density 0.055%

    No Known Activations