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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. 2-RES-JB
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    Explanations

    phrases related to physical injuries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of injuries in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebook
    -0.71
    gran
    -0.71
    aer
    -0.70
    gency
    -0.69
    nom
    -0.69
    esters
    -0.69
    perm
    -0.68
    ingen
    -0.68
    yrinth
    -0.67
    minist
    -0.66
    POSITIVE LOGITS
     injured
    0.93
    jured
    0.86
     wounded
    0.84
     injuries
    0.79
     injuring
    0.79
     survivors
    0.77
    adoes
    0.75
     bystanders
    0.74
    lehem
    0.73
     inflicted
    0.73
    Activations Density 0.015%

    No Known Activations