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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
    11. 9087
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    Explanations

    the word "say", regardless of the context

    oai_token-act-pair · gpt-3.5-turbo

    phrases that involve expressing opinions or assertions

    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
     conflic
    -0.92
    ntil
    -0.89
    ¥ŀ
    -0.87
    estern
    -0.83
     earthqu
    -0.79
    itially
    -0.78
    ortunately
    -0.77
    xtap
    -0.75
     cumbers
    -0.74
    pes
    -0.73
    POSITIVE LOGITS
     goodbye
    1.16
     Say
    0.89
     hello
    0.85
     say
    0.82
     Goodbye
    0.82
    upon
    0.81
    ings
    0.80
     Merry
    0.75
     SAY
    0.74
    say
    0.73
    Activations Density 0.090%

    No Known Activations