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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 24472
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to documentation, installation processes, and life goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    natureconservancy
    -0.58
    ãĤ¦ãĤ¹
    -0.58
    nai
    -0.54
    ROR
    -0.54
    chieve
    -0.54
    Morning
    -0.53
    ãĤ´ãĥ³
    -0.53
    Rated
    -0.52
    Thumbnail
    -0.52
    zeb
    -0.51
    POSITIVE LOGITS
     we
    1.37
     they
    1.35
     it
    1.23
     there
    1.21
     he
    1.07
     you
    1.06
    they
    1.02
    there
    1.00
     THEY
    1.00
     I
    0.99
    Activations Density 1.169%

    No Known Activations