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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. 12-RES-JB
    11. 2814
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    Explanations

    descriptions of individuals carrying weapons or being involved in violent incidents

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to weapons and their usage

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nesday
    -0.76
    paces
    -0.70
    center
    -0.68
    ieu
    -0.68
    nil
    -0.68
    pmwiki
    -0.68
    iets
    -0.65
    rics
    -0.65
    女
    -0.65
    optim
    -0.64
    POSITIVE LOGITS
     handgun
    1.27
     Glock
    1.16
     handguns
    1.12
     firearm
    1.10
     revolver
    1.09
     knife
    1.06
     shotgun
    1.06
     pistol
    1.05
     concealed
    1.03
     assault
    1.03
    Activations Density 0.201%

    No Known Activations