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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. 7-RES-JB
    11. 1662
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    Explanations

    terms related to individuals affected by traumatic events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    references to survivors of traumatic events

    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
    yip
    -0.70
    ebus
    -0.68
     snipp
    -0.68
    GGGGGGGG
    -0.67
    sed
    -0.63
     taxing
    -0.63
    ortment
    -0.62
    erala
    -0.62
     Owl
    -0.62
    yrinth
    -0.61
    POSITIVE LOGITS
     survivors
    1.00
     Survivors
    0.95
     victims
    0.89
     thereof
    0.79
    Surv
    0.77
     survivor
    0.76
     Survivor
    0.76
     testimonies
    0.75
     victimized
    0.71
     Victims
    0.68
    Activations Density 0.051%

    No Known Activations