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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 8168
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    Explanations

    specific locations and incidents related to violent events

    oai_token-act-pair · gpt-3.5-turbo

    references to incidents of violence or attacks against individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    rogram
    -0.80
    Marsh
    -0.68
     evolving
    -0.66
     Siber
    -0.65
    Proof
    -0.61
     defin
    -0.59
    ONEY
    -0.58
     eminent
    -0.58
     States
    -0.58
    Phys
    -0.57
    POSITIVE LOGITS
     belonging
    0.78
     premises
    0.73
     hostage
    0.72
    esson
    0.72
     Annex
    0.71
     hostages
    0.70
     convoy
    0.70
     buildings
    0.69
    area
    0.68
     victim
    0.66
    Activations Density 0.530%

    No Known Activations