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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. 18817
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    Explanations

    words related to water-related activities or items

    oai_token-act-pair · gpt-3.5-turbo

    terms related to immersive experiences or transformations involving elements of water

    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
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    No Comments

    Negative Logits
    ĸ
    -0.76
    ramer
    -0.75
    eme
    -0.74
    rador
    -0.72
    zee
    -0.71
    ems
    -0.71
    eared
    -0.70
    Ħ
    -0.69
     rall
    -0.68
    ger
    -0.67
    POSITIVE LOGITS
    apon
    0.87
    apons
    0.83
    yss
    0.81
    asma
    0.76
    anka
    0.74
     Mara
    0.71
    tsky
    0.71
     Ashe
    0.71
    vy
    0.69
     Tale
    0.66
    Activations Density 0.118%

    No Known Activations