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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. 5-RES-JB
    6. 10175
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    Explanations

    adjectives describing the size or extent of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that begin with "such a" followed by varying descriptions or attributes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Annotations
    -0.70
     ensu
    -0.70
     Airl
    -0.67
     RCMP
    -0.66
     Uriel
    -0.66
     Jagu
    -0.65
     Palest
    -0.65
     srfAttach
    -0.65
     Pigs
    -0.65
     Polo
    -0.62
    POSITIVE LOGITS
     thing
    0.98
    ãĥĥãĥĪ
    0.79
     bunch
    0.79
     scenario
    0.77
    complex
    0.76
    fecture
    0.75
    omination
    0.75
    uncture
    0.74
     delicate
    0.73
    rouse
    0.72
    Activations Density 0.045%

    No Known Activations