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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. 11-RES-JB
    11. 6202
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    Explanations

    prepositions 'with' followed by unusual outcomes or events, such as accidents or negative incidents

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "with"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TPP
    -0.80
    PIN
    -0.77
    TG
    -0.76
    §
    -0.74
    displayText
    -0.74
    iggurat
    -0.74
    SHIP
    -0.73
    ulf
    -0.72
    ship
    -0.72
    olt
    -0.71
    POSITIVE LOGITS
     exceptions
    1.10
     plenty
    1.07
     caveats
    1.06
     varying
    1.06
     apologies
    1.05
     regard
    1.04
     regards
    1.03
     occasional
    1.02
     attendant
    1.01
    draw
    1.00
    Activations Density 0.104%

    No Known Activations