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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. 4-RES-JB
    11. 10805
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    Explanations

    words related to susceptibility or risk

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "vulnerable"

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

    No Comments

    Negative Logits
    zos
    -0.80
    tein
    -0.74
     Collider
    -0.74
    colo
    -0.69
    gran
    -0.69
    aster
    -0.68
    inth
    -0.66
    OTO
    -0.66
    ALSE
    -0.64
    ript
    -0.64
    POSITIVE LOGITS
     vulnerable
    1.14
    ulnerable
    0.96
     vulner
    0.95
     adolesc
    0.89
    itably
    0.78
     victims
    0.77
     vulnerability
    0.77
     bystanders
    0.76
    ansas
    0.75
     vulnerabilities
    0.75
    Activations Density 0.013%

    No Known Activations