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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. 1453
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    Explanations

    phrases describing violent actions involving harming or killing individuals

    oai_token-act-pair · gpt-3.5-turbo

    instances of violent actions or incidents involving shooting

    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
     Parables
    -0.77
    existence
    -0.74
    isSpecialOrderable
    -0.70
     trickle
    -0.69
    parency
    -0.68
     Integration
    -0.68
     Primordial
    -0.67
    lace
    -0.65
    iment
    -0.64
     Ratings
    -0.64
    POSITIVE LOGITS
     killed
    1.31
    killed
    1.13
     stabbed
    1.11
     wounded
    1.10
     injure
    1.06
     wounding
    1.05
     robbed
    1.04
     injured
    1.00
     murdered
    0.99
     Killed
    0.99
    Activations Density 0.063%

    No Known Activations