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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. 13538
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    Explanations

    phrases indicating actions or plans being taken

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating actions or measures taken

    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
     Corpus
    -0.70
    ixture
    -0.69
     Waste
    -0.68
     chains
    -0.68
     Chains
    -0.67
    paralle
    -0.67
     Sheep
    -0.66
     Anch
    -0.64
     Hitch
    -0.62
    ciating
    -0.61
    POSITIVE LOGITS
     toward
    0.87
    ãĤ¸
    0.77
    ndum
    0.77
     towards
    0.77
     proactive
    0.74
     remed
    0.70
     offline
    0.69
     precautions
    0.68
     backward
    0.67
    oward
    0.66
    Activations Density 0.038%

    No Known Activations