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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. 3-RES-JB
    11. 23277
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    Explanations

    people or sources being quoted in written text

    oai_token-act-pair · gpt-3.5-turbo

    instances of quotations or reported speech

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    estern
    -0.86
    ¥ŀ
    -0.81
    xtap
    -0.81
    respective
    -0.79
    ntil
    -0.77
    otypes
    -0.76
    peg
    -0.76
    ĸļ士
    -0.74
    pleting
    -0.73
    hooting
    -0.72
    POSITIVE LOGITS
     goodbye
    1.27
     Goodbye
    0.83
     hello
    0.80
    INTON
    0.74
     aloud
    0.70
     farewell
    0.70
     Olson
    0.67
     loudly
    0.67
    tons
    0.65
    ieu
    0.64
    Activations Density 0.033%

    No Known Activations