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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. 8872
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    Explanations

    phrases related to locations or sources

    oai_token-act-pair · gpt-3.5-turbo

    references to activities, events, or objects that depict life experiences and storytelling

    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
    \\\\\\\\
    -0.68
    Leaks
    -0.58
    LAB
    -0.54
    OV
    -0.53
    NESS
    -0.51
    2020
    -0.51
    ZI
    -0.51
    ESA
    -0.50
    SA
    -0.50
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.49
    POSITIVE LOGITS
     respectively
    0.76
     exchanged
    0.60
    each
    0.59
    ynchron
    0.59
     converge
    0.58
    were
    0.57
    ettings
    0.57
     totaling
    0.56
    ensitive
    0.56
    including
    0.55
    Activations Density 2.733%

    No Known Activations