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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. 7-RES-JB
    11. 21605
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    Explanations

    Chinese characters and words

    oai_token-act-pair · gpt-3.5-turbo

    sequences of special characters or non-standard symbols

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    espie
    -1.08
     skelet
    -0.78
     separat
    -0.74
     detachment
    -0.71
    abase
    -0.70
    utics
    -0.70
     disg
    -0.70
     Bees
    -0.69
     stool
    -0.69
    ttes
    -0.69
    POSITIVE LOGITS
    ãĥĪ
    1.33
    ãĤ³
    1.28
    ãĤ«
    1.21
    ãĥ©ãĥ³
    1.21
    ãĥ´ãĤ¡
    1.19
    ãĥij
    1.19
    ãĤº
    1.18
    ãĥ¼ãĥ
    1.18
    ãĥ³
    1.18
    к
    1.16
    Activations Density 0.060%

    No Known Activations