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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. 20803
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    Explanations

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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
    etsk
    -0.75
    Downloadha
    -0.74
    jong
    -0.69
    lahoma
    -0.69
    employment
    -0.67
    llular
    -0.65
    unct
    -0.64
    oidal
    -0.63
    ct
    -0.63
    ãĥĥ
    -0.62
    POSITIVE LOGITS
    LY
    1.32
    LES
    1.31
    HEAD
    1.30
    ADE
    1.27
     WITH
    1.26
    ING
    1.25
     HOUSE
    1.25
    IES
    1.24
    EST
    1.24
    AGE
    1.23
    Activations Density 0.091%

    No Known Activations