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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. 21850
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    Explanations

    infinitive verbs indicating a desired action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "hope to" indicating aspirations or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     cropped
    -0.69
     actionGroup
    -0.69
     IMAGES
    -0.65
     wastes
    -0.62
    sheets
    -0.62
    BLIC
    -0.61
     CLASS
    -0.61
     stripped
    -0.60
     duties
    -0.59
     notes
    -0.58
    POSITIVE LOGITS
     someday
    0.96
     revive
    0.83
     avoid
    0.77
     solve
    0.76
     rebound
    0.76
     improve
    0.75
    orage
    0.74
     achieve
    0.73
     recreate
    0.72
    Catalog
    0.72
    Activations Density 0.082%

    No Known Activations