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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. 13841
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    ĸļ
    -0.82
    ãĥĥãĥī
    -0.81
    luaj
    -0.76
    raints
    -0.72
    owler
    -0.71
     Strauss
    -0.70
     Mayweather
    -0.65
    emonium
    -0.64
     Singer
    -0.64
    hedral
    -0.64
    POSITIVE LOGITS
    BACK
    1.13
    ICA
    1.11
    IES
    1.08
    RY
    1.07
    WORK
    1.06
    ATOR
    1.06
    TAIN
    1.05
    FIELD
    1.05
    ANGE
    1.04
    LY
    1.04
    Activations Density 0.013%

    No Known Activations