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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. 10-RES-JB
    11. 5437
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    Explanations

    medical interventions and emergency situations

    oai_token-act-pair · gpt-3.5-turbo

    references to emergency medical situations or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soType
    -0.95
    ipedia
    -0.82
    phabet
    -0.81
    thumbnails
    -0.80
     Modes
    -0.74
    ategory
    -0.73
    inery
    -0.71
    nergy
    -0.70
    antry
    -0.70
    ilater
    -0.69
    POSITIVE LOGITS
     youngster
    1.41
     teenager
    1.29
     stricken
    1.26
     guy
    1.23
     young
    1.16
     kid
    1.16
     prisoner
    1.15
     patient
    1.14
     victim
    1.12
     injured
    1.12
    Activations Density 0.527%

    No Known Activations