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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. 8-RES-JB
    11. 14244
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns associated with specific entities or subjects

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ;;;;;;;;;;;;
    -0.64
    earance
    -0.63
     *.
    -0.63
    ä¹ĭ
    -0.62
     ��������
    -0.61
    .............
    -0.59
     ______
    -0.59
    interstitial
    -0.59
    assetsadobe
    -0.58
    lihood
    -0.58
    POSITIVE LOGITS
    Sand
    0.73
     backers
    0.67
    anta
    0.65
     programmers
    0.65
     Sand
    0.64
     intends
    0.63
    Fest
    0.63
    udos
    0.63
    Net
    0.62
    Grid
    0.60
    Activations Density 0.494%

    No Known Activations