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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. 5-RES-JB
    6. 13323
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and fragments in a text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ãĥ¼ãĥ
    -0.57
    Reloaded
    -0.53
    é»Ĵ
    -0.51
    TERN
    -0.51
    VALUE
    -0.51
    ãĥĩãĤ£
    -0.50
    theless
    -0.50
    ãĤ£
    -0.50
    ãĤ¼
    -0.49
     Spartans
    -0.49
    POSITIVE LOGITS
    ulhu
    0.54
    incial
    0.52
    ngth
    0.51
     Byte
    0.51
     Cheong
    0.50
     Buchanan
    0.48
    ortmund
    0.47
     Invalid
    0.47
     Session
    0.47
     "{
    0.47
    Activations Density 1.077%

    No Known Activations