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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. 9-RES-JB
    11. 24104
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    Explanations

    verbs related to destruction or removal

    oai_token-act-pair · gpt-3.5-turbo

    words relating to destruction and illegal activities

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     Logged
    -0.70
    WER
    -0.61
     Pyr
    -0.60
     Trader
    -0.60
     Forth
    -0.60
     Leaders
    -0.59
    roman
    -0.59
     Centauri
    -0.58
    BU
    -0.57
    MIC
    -0.57
    POSITIVE LOGITS
    ishing
    1.61
    ishment
    1.56
    ition
    1.43
    ishers
    1.34
    ished
    1.30
    ishes
    1.30
    isher
    1.29
    itions
    1.26
    iting
    1.26
    ication
    1.22
    Activations Density 0.119%

    No Known Activations