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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

    keywords related to legal and investigative terms

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "involving" in relation to various contexts or events

    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
     glide
    -0.64
    arer
    -0.61
     comfort
    -0.60
    yden
    -0.57
     shrink
    -0.56
     Lonely
    -0.55
    gh
    -0.55
    hat
    -0.54
    ood
    -0.54
     pride
    -0.54
    POSITIVE LOGITS
     involving
    3.26
     involve
    1.74
     involves
    1.61
     relating
    1.59
     requiring
    1.48
     consisting
    1.45
     affecting
    1.44
     pertaining
    1.38
     featuring
    1.37
     stemming
    1.37
    Activations Density 0.015%

    No Known Activations