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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. 1-RES-JB
    6. 12732
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    Explanations

    phrases or words related to significant achievements or events

    oai_token-act-pair · gpt-3.5-turbo

    references to significant achievements or benchmarks

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -1.07
    olls
    -0.82
    otto
    -0.81
    amina
    -0.76
    obe
    -0.73
    piracy
    -0.72
     rented
    -0.70
    ells
    -0.70
    resp
    -0.68
    olly
    -0.68
    POSITIVE LOGITS
     milestone
    1.37
     milestones
    1.25
     celebrations
    0.85
     achievement
    0.81
     hurdle
    0.79
     accomplishment
    0.77
     celebration
    0.75
     achievements
    0.75
    enary
    0.71
     hurdles
    0.71
    Activations Density 0.004%

    No Known Activations