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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. 1-RES-JB
    11. 424
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    Explanations

    words related to warnings or potential risks

    oai_token-act-pair · gpt-3.5-turbo

    indications of potential hazards or risks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ided
    -0.71
    iah
    -0.69
    0000000000000000
    -0.68
    itability
    -0.67
     Atkins
    -0.66
    mental
    -0.66
    ãĥį
    -0.65
    lished
    -0.65
     Cortex
    -0.65
    ADRA
    -0.64
    POSITIVE LOGITS
     souven
    0.75
    umbnail
    0.66
    avers
    0.65
    ng
    0.64
    oyer
    0.63
    shaw
    0.63
    cape
    0.61
     visitor
    0.60
    sson
    0.60
     Theft
    0.59
    Activations Density 0.000%

    No Known Activations