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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. 6-RES-JB
    11. 14099
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    Explanations

    phrases related to the process of getting accustomed to new things or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "used" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Bender
    -0.64
     Hale
    -0.61
     stripe
    -0.61
    ellen
    -0.59
     Artemis
    -0.59
     Founders
    -0.59
     Nem
    -0.59
    antle
    -0.57
     axis
    -0.57
     Ascend
    -0.56
    POSITIVE LOGITS
    ience
    1.01
    fully
    0.99
    fulness
    0.91
    ench
    0.77
    oise
    0.75
    ruciating
    0.75
    ury
    0.74
    iences
    0.74
    ickets
    0.72
    ãĥ¼ãĥĨãĤ£
    0.72
    Activations Density 0.048%

    No Known Activations