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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. 610
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    Explanations

    terms or phrases related to the importance or significance of something

    oai_token-act-pair · gpt-3.5-turbo

    the word "important" and related phrases emphasizing significance or importance

    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
    ibal
    -0.80
    iffe
    -0.76
     Fever
    -0.75
    terness
    -0.74
    ilk
    -0.74
    iverpool
    -0.71
    IDES
    -0.70
    uate
    -0.69
     vomit
    -0.68
    bows
    -0.67
    POSITIVE LOGITS
     distinction
    0.90
     portions
    0.83
     milestone
    0.81
     historical
    0.81
     parts
    0.77
     aspects
    0.76
     stakeholders
    0.76
     enough
    0.75
     importance
    0.75
     constituent
    0.74
    Activations Density 0.065%

    No Known Activations