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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. 12586
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    Explanations

    phrases related to environmental initiatives and composting

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographical locations or names related to certain places

    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
    amen
    -0.85
    unes
    -0.72
    ynt
    -0.71
    ural
    -0.71
    aman
    -0.69
    arians
    -0.68
    ICAN
    -0.67
    */(
    -0.66
    arian
    -0.66
    itarian
    -0.66
    POSITIVE LOGITS
     Grove
    1.11
    dale
    0.99
    lore
    0.95
     Heights
    0.95
    land
    0.91
     Village
    0.88
     Ridge
    0.87
    lands
    0.86
    ville
    0.86
    lake
    0.84
    Activations Density 0.018%

    No Known Activations