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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. 3-RES-JB
    6. 14169
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    Explanations

    the word "mini" followed by a number indicating a scale or version

    oai_token-act-pair · gpt-3.5-turbo

    references to anything described as "mini."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âķIJâķIJ
    -0.81
    Ö¼
    -0.76
    yer
    -0.72
    rer
    -0.68
    lain
    -0.68
     Bleach
    -0.66
    REAM
    -0.65
    ILLE
    -0.63
     Grind
    -0.62
     depl
    -0.62
    POSITIVE LOGITS
    ature
    1.19
    atur
    1.18
    atures
    0.99
    ocular
    0.93
    atomic
    0.80
     sized
    0.77
    eco
    0.75
    ota
    0.75
    oby
    0.73
    mini
    0.72
    Activations Density 0.009%

    No Known Activations