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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. 7003
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    Explanations

    instances of the word "saw" followed by a verb

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "saw."

    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
    externalActionCode
    -0.84
     isot
    -0.67
    cult
    -0.65
    processing
    -0.64
    essen
    -0.63
     arranged
    -0.63
    afort
    -0.63
    cious
    -0.63
     richer
    -0.63
     agric
    -0.61
    POSITIVE LOGITS
    saw
    1.00
    dust
    0.89
    nesday
    0.85
    erala
    0.83
    mill
    0.80
    lights
    0.79
    lasses
    0.78
    ablishment
    0.78
    yers
    0.78
    adobe
    0.77
    Activations Density 0.024%

    No Known Activations