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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. 13665
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    INDEX
    Explanations

    pronouns followed by the verb "get" with high emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of understanding or comprehension

    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
    ILE
    -0.62
    911
    -0.62
    hips
    -0.61
     Friend
    -0.61
     Mans
    -0.59
     Petroleum
    -0.58
     Veg
    -0.58
    ãĥ«
    -0.57
    ature
    -0.57
    steen
    -0.55
    POSITIVE LOGITS
    chy
    1.23
    alian
    1.00
    unes
    0.85
    iner
    0.75
     wrong
    0.74
     raining
    0.73
     shipped
    0.73
    icult
    0.69
     anyways
    0.69
    atically
    0.67
    Activations Density 0.089%

    No Known Activations