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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. 13362
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    Explanations

    combinations or mixtures of different elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases and concepts related to combinations of elements or therapies

    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
    cott
    -0.87
    artisan
    -0.78
    shire
    -0.75
    arag
    -0.71
    ÅĤ
    -0.71
    iak
    -0.70
     Passage
    -0.69
    zbollah
    -0.69
    itzer
    -0.68
    iard
    -0.67
    POSITIVE LOGITS
     thereof
    0.86
     combinations
    0.75
     seamlessly
    0.69
     accelerator
    0.69
    ALLY
    0.68
     weave
    0.66
     together
    0.66
     combination
    0.64
    ãĤ¤ãĥĪ
    0.62
     digits
    0.61
    Activations Density 0.028%

    No Known Activations