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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. 0-RES-JB
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    Explanations

    words related to severe situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    intense negative descriptors related to severity and harm

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    unity
    -0.64
    tech
    -0.64
    nature
    -0.62
     Masquerade
    -0.60
    orrow
    -0.59
    Unity
    -0.59
    forward
    -0.59
    Natural
    -0.59
    ity
    -0.58
    pir
    -0.58
    POSITIVE LOGITS
     severely
    3.20
     harshly
    1.82
     brutally
    1.74
     badly
    1.74
     critically
    1.56
     drastically
    1.55
     horribly
    1.54
     negatively
    1.53
     violently
    1.52
     seriously
    1.51
    Activations Density 0.029%

    No Known Activations