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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 218
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    Explanations

    phrases related to the concept of something being "based on" a particular idea, concept, or data

    oai_token-act-pair · gpt-3.5-turbo

    phrases that emphasize the concept of being "based on" something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    İĭ
    -0.62
    anka
    -0.59
    apes
    -0.59
     Kills
    -0.58
     Appears
    -0.58
     Flavoring
    -0.57
    zzle
    -0.57
    adobe
    -0.56
     Tid
    -0.56
    eden
    -0.56
    POSITIVE LOGITS
     loosely
    1.21
     upon
    1.18
     squarely
    1.06
     solely
    1.05
     entirely
    1.02
     purely
    1.00
     principally
    0.93
     largely
    0.91
     primarily
    0.91
     around
    0.90
    Activations Density 0.058%

    No Known Activations