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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. 1-RES-JB
    11. 5079
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    Explanations

    references to the word "Face" with varying levels of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to social media platforms, particularly Facebook

    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
    acent
    -0.78
    agically
    -0.75
    rawdownloadcloneembedreportprint
    -0.75
    rust
    -0.72
     sil
    -0.71
    orpor
    -0.70
    rom
    -0.68
    azar
    -0.65
    wik
    -0.65
    iscopal
    -0.64
    POSITIVE LOGITS
     Face
    1.23
     Faces
    1.17
    Face
    1.13
     faces
    0.80
    metics
    0.79
    liest
    0.79
    omorph
    0.78
    hair
    0.77
     FACE
    0.76
    face
    0.75
    Activations Density 0.010%

    No Known Activations