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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. 15359
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    Explanations

    combinations of information from different sources or fields

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the concept of combining or merging different elements or ideas

    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
    taker
    -0.72
    CHECK
    -0.65
    ©¶æ¥µ
    -0.62
    sted
    -0.62
     unmarked
    -0.60
    ukong
    -0.58
    KNOWN
    -0.56
    alty
    -0.55
    gered
    -0.54
     mercy
    -0.54
    POSITIVE LOGITS
     seamlessly
    0.89
    into
    0.86
     disparate
    0.85
     into
    0.83
     dots
    0.81
     onto
    0.75
     elements
    0.74
     genres
    0.74
     neatly
    0.73
     senses
    0.72
    Activations Density 0.498%

    No Known Activations