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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. 3-RES-JB
    11. 12074
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    Explanations

    phrases related to eligibility or meeting requirements

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to eligibility or qualifications for programs and benefits

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     goodbye
    -0.70
     Alps
    -0.66
    oult
    -0.65
     revolving
    -0.64
     Gardens
    -0.64
     spray
    -0.62
    vir
    -0.62
    apest
    -0.62
     drip
    -0.62
     sleeve
    -0.61
    POSITIVE LOGITS
    ifies
    1.02
     qualify
    1.00
    ifications
    0.97
    ifiers
    0.91
     qualifications
    0.87
    ifying
    0.84
     qualified
    0.83
     qualifies
    0.82
    iotics
    0.80
    mma
    0.78
    Activations Density 0.006%

    No Known Activations