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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. 2735
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    Explanations

    phrases related to terrorist attacks and extremist groups, particularly focused on specific incidents and organizations

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

    references to terrorist groups and militant organization dynamics

    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
    lection
    -0.70
    Glass
    -0.68
    Grade
    -0.68
     Minutes
    -0.67
    ministic
    -0.67
    lyss
    -0.67
     Conversation
    -0.67
    Luck
    -0.66
    artisan
    -0.65
    utation
    -0.65
    POSITIVE LOGITS
     waged
    1.19
     massac
    1.15
     seized
    1.15
     kidnapped
    1.12
     assassinated
    1.10
     controls
    1.10
     hijacked
    1.09
     plotted
    1.09
     infiltrated
    1.08
     perpetrated
    1.05
    Activations Density 0.299%

    No Known Activations