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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. 14848
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    Explanations

    specific characters or symbols, particularly brackets and punctuation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    commands related to a specific programming language

    oai_token-act-pair · gpt-3.5-turbo
    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
    Ń·
    -1.08
    İĭ
    -0.90
    ¿½
    -0.82
    ±
    -0.82
    Ļ½
    -0.77
    »Ĵ
    -0.74
     acknow
    -0.72
    obos
    -0.72
    ¨
    -0.71
    ĪĴ
    -0.71
    POSITIVE LOGITS
    LOG
    0.82
    arial
    0.77
    tracks
    0.72
    ept
    0.71
     Alphabet
    0.71
     Entity
    0.69
    byte
    0.69
    Person
    0.68
    },"
    0.68
    +)
    0.67
    Activations Density 0.047%

    No Known Activations