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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. 4-RES-JB
    6. 21519
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    Explanations

    words written in a specific script

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of a specific character in text, likely related to the Cyrillic alphabet

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

    No Comments

    Negative Logits
    riott
    -0.84
    icio
    -0.74
    aido
    -0.72
    arching
    -0.69
    anced
    -0.69
    arios
    -0.69
     Pyth
    -0.69
    urst
    -0.66
    rament
    -0.66
    20439
    -0.65
    POSITIVE LOGITS
    м
    1.16
    Ð
    1.15
    н
    1.11
    к
    1.11
    Ñı
    1.11
    ÑĤ
    1.10
    д
    1.10
    и
    1.06
    в
    1.06
    л
    1.04
    Activations Density 0.007%

    No Known Activations