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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 9766
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    Explanations

    the word "front" with various contextual meanings

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "front" in various contexts

    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
    IRO
    -0.81
    Rating
    -0.75
    ======
    -0.74
    ascript
    -0.69
    cles
    -0.69
    tar
    -0.67
    TPPStreamerBot
    -0.66
    BILITY
    -0.66
    fortune
    -0.65
    ETH
    -0.65
    POSITIVE LOGITS
     porch
    0.82
     lawn
    0.80
    runners
    0.79
    mast
    0.77
    office
    0.76
    ugal
    0.75
    side
    0.74
    iers
    0.71
     row
    0.69
    front
    0.69
    Activations Density 0.016%

    No Known Activations