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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. 17465
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    Explanations

    the word "somehow" or instances where things are described in a way that seems difficult to explain or understand

    oai_token-act-pair · gpt-3.5-turbo

    the word "somehow" and its variations, indicating a focus on uncertainty or unexplained situations

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    vation
    -0.77
    yip
    -0.72
    emies
    -0.70
     Parenthood
    -0.68
    WER
    -0.67
    yer
    -0.67
    pec
    -0.66
    rament
    -0.64
    YN
    -0.63
    rist
    -0.62
    POSITIVE LOGITS
     somew
    1.30
     managed
    1.07
     magically
    1.02
     mirac
    0.94
     manages
    0.86
     somehow
    0.86
     escaped
    0.81
     unaccount
    0.80
     resembling
    0.79
     manage
    0.78
    Activations Density 0.029%

    No Known Activations