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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
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    Explanations

    the word "stun" or variations thereof at different levels of intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "stun" and its variations

    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
    aternity
    -0.70
    yss
    -0.70
    女
    -0.69
     Janeiro
    -0.66
    ophical
    -0.65
    ophy
    -0.64
     Percent
    -0.62
    istle
    -0.60
    RH
    -0.59
     Cyr
    -0.59
    POSITIVE LOGITS
     stun
    1.17
    ners
    1.08
     absor
    1.00
    ted
    0.96
    ned
    0.92
    bang
    0.92
    ner
    0.88
    geon
    0.86
    locked
    0.83
    ting
    0.82
    Activations Density 0.007%

    No Known Activations