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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 12-RES-JB
    6. 3621
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    Explanations

    details related to large infrastructure projects

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    monetary values associated with infrastructure projects and government spending

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -1.37
     undermin
    -1.33
     exha
    -1.31
     mathemat
    -1.28
     mosqu
    -1.28
    ¥ŀ
    -1.27
     reluct
    -1.24
     satell
    -1.22
     hemor
    -1.20
     volunte
    -1.19
    POSITIVE LOGITS
    5
    1.49
    6
    1.44
    4
    1.42
    8
    1.42
    7
    1.41
    3
    1.40
    9
    1.38
    2
    1.37
    75
    1.36
    25
    1.33
    Activations Density 0.054%

    No Known Activations