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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. 8-RES-JB
    11. 12432
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    Explanations

    references to various health conditions or medical situations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to health conditions and disabilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    CVE
    -0.75
    ĸļ
    -0.69
     Roe
    -0.69
     nozzle
    -0.68
     Proced
    -0.65
    endiary
    -0.65
    ãĥį
    -0.64
    evidence
    -0.64
     disinfect
    -0.63
     repr
    -0.63
    POSITIVE LOGITS
     individuals
    1.14
    ness
    1.13
     persons
    1.11
     youths
    1.09
     adults
    1.06
     people
    1.02
     teenagers
    1.01
     adolescents
    1.00
     youngsters
    0.99
     couples
    0.98
    Activations Density 0.254%

    No Known Activations