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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 17856
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    Explanations

    mention of violent actions and incidents, specifically involving shooting and killing

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to violent incidents and casualties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    heit
    -0.88
     Administ
    -0.83
     Username
    -0.79
    ional
    -0.75
    SPONSORED
    -0.72
    soType
    -0.72
    VERTISEMENT
    -0.66
    TERN
    -0.66
     Factor
    -0.65
     Granted
    -0.65
    POSITIVE LOGITS
     torped
    0.86
     espresso
    0.85
     sparks
    0.79
     lasers
    0.76
     bullets
    0.71
     bang
    0.71
     Shotgun
    0.70
     unarmed
    0.70
     missiles
    0.70
     cannon
    0.69
    Activations Density 0.148%

    No Known Activations