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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. 19951
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    Explanations

    phrases related to accidents or incidents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of accident-related terminology

    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
    geist
    -0.82
    OPLE
    -0.82
    NING
    -0.72
    bian
    -0.68
    wich
    -0.67
    berman
    -0.67
     Dare
    -0.65
    ï¸
    -0.64
     hope
    -0.64
    erness
    -0.64
    POSITIVE LOGITS
    redited
    1.26
    enture
    1.22
    identally
    1.15
    reditation
    1.14
    ompl
    1.14
    idental
    1.12
    ommod
    1.11
    used
    1.10
    urate
    1.07
    laim
    1.06
    Activations Density 0.007%

    No Known Activations