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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. 14574
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    Explanations

    terms related to different types of prevention efforts

    oai_token-act-pair · gpt-3.5-turbo

    terms related to preventive measures in health and safety contexts

    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
    ells
    -0.71
    onian
    -0.70
    ebus
    -0.68
    edes
    -0.68
    arov
    -0.68
    vez
    -0.67
    ittered
    -0.67
    mpeg
    -0.65
    versions
    -0.64
    estones
    -0.64
    POSITIVE LOGITS
     prevention
    0.82
    thood
    0.76
     allev
    0.72
     cessation
    0.70
    avior
    0.70
    essim
    0.70
    crow
    0.70
     awareness
    0.69
     screening
    0.68
    ²¾
    0.67
    Activations Density 0.013%

    No Known Activations