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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. 11-RES-JB
    11. 24154
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    Explanations

    phrases related to being mandatory or necessary

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating necessity or requirements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vironment
    -0.88
    gdala
    -0.78
    nam
    -0.69
    reath
    -0.69
    illance
    -0.67
     Hots
    -0.67
    apest
    -0.67
    ileaks
    -0.67
    orthern
    -0.65
    WOR
    -0.63
    POSITIVE LOGITS
     unanim
    0.91
     prerequisite
    0.91
     diligence
    0.79
     approvals
    0.78
     qualifications
    0.75
     qualification
    0.73
     compliance
    0.73
     disclaimer
    0.72
     minimum
    0.71
     waivers
    0.71
    Activations Density 0.074%

    No Known Activations