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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. 551
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    Explanations

    words related to interaction or engaging with someone or something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "interact" and its variations

    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
    ucks
    -0.68
    OTT
    -0.64
    vation
    -0.64
    _-
    -0.63
     Derby
    -0.62
    anish
    -0.61
    IDS
    -0.61
    dylib
    -0.60
    20439
    -0.58
    corn
    -0.57
    POSITIVE LOGITS
     withd
    1.17
     negatively
    1.15
     peacefully
    1.15
     with
    1.09
     freely
    1.09
     violently
    1.07
     positively
    1.05
     heavily
    1.02
     extensively
    1.00
     favorably
    1.00
    Activations Density 0.173%

    No Known Activations