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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. 4962
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    Explanations

    descriptions related to low lighting conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to dim lighting or low visibility

    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
    ETF
    -0.80
    DK
    -0.76
    CB
    -0.76
    Issue
    -0.76
    OAD
    -0.76
    FUL
    -0.74
    RAFT
    -0.74
    CV
    -0.72
    Technical
    -0.71
    OUP
    -0.70
    POSITIVE LOGITS
     dim
    1.29
    inished
    1.08
    ethy
    1.06
     bulb
    1.02
    ming
    1.01
    dim
    0.98
    mers
    0.97
    ¥ŀ
    0.94
    iencies
    0.94
     tremend
    0.93
    Activations Density 0.005%

    No Known Activations