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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. 4-RES-JB
    11. 24478
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    INDEX
    Explanations

    mentions of individuals or groups being affected by negative events or circumstances

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating victims and victimization

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

    No Comments

    Negative Logits
    oday
    -0.86
    edu
    -0.79
    liness
    -0.73
    rar
    -0.70
    MG
    -0.68
    HK
    -0.68
    kered
    -0.67
    umbered
    -0.66
    uce
    -0.65
    uity
    -0.65
    POSITIVE LOGITS
     seiz
    0.66
     victim
    0.65
     therap
    0.64
     Antar
    0.64
     Somali
    0.63
     victims
    0.63
    camp
    0.63
     untreated
    0.62
     Forced
    0.62
     ingest
    0.62
    Activations Density 0.159%

    No Known Activations