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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. 20081
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    Explanations

    references to victims

    oai_token-act-pair · gpt-3.5-turbo

    references to victims in various contexts

    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
    ove
    -0.75
    yip
    -0.69
    leaf
    -0.64
     princip
    -0.64
     Plat
    -0.63
     Owl
    -0.62
    lav
    -0.60
     herbs
    -0.60
     herbal
    -0.60
    REE
    -0.60
    POSITIVE LOGITS
    vict
    0.92
    izers
    0.91
     victims
    0.87
     Victim
    0.86
     victim
    0.86
    izes
    0.85
     inflicted
    0.85
    izer
    0.82
    Vict
    0.81
     Victims
    0.81
    Activations Density 0.050%

    No Known Activations