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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. 17253
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    INDEX
    Explanations

    phrases related to observations or commentary

    oai_token-act-pair · gpt-3.5-turbo

    the term "observers" in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    street
    -0.68
    eating
    -0.67
    Enough
    -0.66
    Ingredients
    -0.66
    Interstitial
    -0.65
    eways
    -0.65
    Hom
    -0.64
    York
    -0.63
    ten
    -0.61
     Gazette
    -0.61
    POSITIVE LOGITS
     observers
    1.23
     observer
    1.22
     wat
    1.01
     observing
    0.94
    acers
    0.81
    ocular
    0.79
    opol
    0.78
     observe
    0.78
    auts
    0.77
     "$:/
    0.77
    Activations Density 0.015%

    No Known Activations