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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. 20405
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    Explanations

    phrases related to actions or events that didn't happen

    oai_token-act-pair · gpt-3.5-turbo

    phrases and words related to permanence and the concept of never occurring or happening

    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
    doms
    -0.74
     Increases
    -0.70
    regate
    -0.70
     VIDEOS
    -0.70
    ortmund
    -0.69
    ipeg
    -0.68
     summarizes
    -0.68
    izes
    -0.67
     scares
    -0.65
    ggles
    -0.65
    POSITIVE LOGITS
     supposed
    1.03
     able
    1.00
     considered
    0.95
     born
    0.90
     going
    0.88
     capable
    0.87
     synonymous
    0.87
    omorphic
    0.87
     regarded
    0.87
     undergoing
    0.86
    Activations Density 0.285%

    No Known Activations