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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. 7-RES-JB
    11. 16801
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal feelings or experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     guiActiveUnfocused
    -0.86
     CLR
    -0.70
     shack
    -0.69
    ãĥ¼ãĥĨ
    -0.67
     RAD
    -0.67
     Landing
    -0.65
     lethal
    -0.65
     scattering
    -0.64
     Zup
    -0.64
     Morse
    -0.62
    POSITIVE LOGITS
    £
    1.06
    agree
    0.91
    sure
    0.91
    º
    0.91
    ¤
    0.89
    ¼
    0.88
    ª
    0.87
    know
    0.87
    Ń
    0.87
    ¬
    0.85
    Activations Density 0.143%

    No Known Activations